http://iis-projects.ee.ethz.ch/index.php?title=Make_Cellular_Internet_of_Things_Receivers_Smart&feed=atom&action=historyMake Cellular Internet of Things Receivers Smart - Revision history2024-03-29T05:48:08ZRevision history for this page on the wikiMediaWiki 1.28.0http://iis-projects.ee.ethz.ch/index.php?title=Make_Cellular_Internet_of_Things_Receivers_Smart&diff=2711&oldid=prevWeberbe at 16:00, 29 March 20172017-03-29T16:00:09Z<p></p>
<table class="diff diff-contentalign-left" data-mw="interface">
<col class='diff-marker' />
<col class='diff-content' />
<col class='diff-marker' />
<col class='diff-content' />
<tr style='vertical-align: top;' lang='en'>
<td colspan='2' style="background-color: white; color:black; text-align: center;">← Older revision</td>
<td colspan='2' style="background-color: white; color:black; text-align: center;">Revision as of 16:00, 29 March 2017</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l6" >Line 6:</td>
<td colspan="2" class="diff-lineno">Line 6:</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>In this project, the suitability of selected combining schemes under various radio channel conditions, such as AWGN and slow and fast fading LTV channels, shall be studied. Then, methods and algorithms to estimate the channel coherence time shall be developed. The estimated channel coherence time can then be used to optimally choose the best combining scheme for the observed channel conditions. The chosen algorithmic candidate can then be implemented in HDL and incorporated into the [[stoneEDGE]] project, which already includes signal conditioning, equalization, and channel decoding. The result can then be tested on a Kintex FPGA board with a [[PULP]] CPU in conjunction with an [[evalEDGE]] FMC module as analog front-end. This project is a perfect opportunity to solve a hot topic algorithmic problem and make cellular IoT receivers smart.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>In this project, the suitability of selected combining schemes under various radio channel conditions, such as AWGN and slow and fast fading LTV channels, shall be studied. Then, methods and algorithms to estimate the channel coherence time shall be developed. The estimated channel coherence time can then be used to optimally choose the best combining scheme for the observed channel conditions. The chosen algorithmic candidate can then be implemented in HDL and incorporated into the [[stoneEDGE]] project, which already includes signal conditioning, equalization, and channel decoding. The result can then be tested on a Kintex FPGA board with a [[PULP]] CPU in conjunction with an [[evalEDGE]] FMC module as analog front-end. This project is a perfect opportunity to solve a hot topic algorithmic problem and make cellular IoT receivers smart.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>===Status: <del class="diffchange diffchange-inline">Available </del>===</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>===Status: <ins class="diffchange diffchange-inline">Obsolete </ins>===</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del class="diffchange diffchange-inline">: Looking for interested students (Semester or Master Thesis)</del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>: Contact: [[User:Weberbe|Benjamin Weber]]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>: Contact: [[User:Weberbe|Benjamin Weber]]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">===Prerequisites===</del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">: Interest in mobile communication</del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">: Matlab</del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">: VHDL</del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"></del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">===Character===</del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">: 25% Theory</del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">: 25% Algorithm Design</del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">: 25% Implementation</del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">: 25% Testing</del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"></del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">===Professor===</del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">[http://www.iis.ee.ethz.ch/portrait/staff/huang.en.html Qiuting Huang]</del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"></del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">==References== </del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">[1] 3GPP. Release 13. http://www.3gpp.org/release-13, 2016.</del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"></del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">[[Category:Digital]]</del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">[[Category:Available]]</del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">[[Category:Hot]]</del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">[[Category:Semester Thesis]]</del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">[[Category:Master Thesis]]</del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">[[Category:FPGA]]</del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">[[Category:Telecommunications]]</del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>[[Category:Weberbe]]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>[[Category:Weberbe]]</div></td></tr>
<!-- diff cache key iis_projects:diff:version:1.11a:oldid:2705:newid:2711 -->
</table>Weberbehttp://iis-projects.ee.ethz.ch/index.php?title=Make_Cellular_Internet_of_Things_Receivers_Smart&diff=2705&oldid=prevWeberbe at 09:51, 24 February 20172017-02-24T09:51:03Z<p></p>
<table class="diff diff-contentalign-left" data-mw="interface">
<col class='diff-marker' />
<col class='diff-content' />
<col class='diff-marker' />
<col class='diff-content' />
<tr style='vertical-align: top;' lang='en'>
<td colspan='2' style="background-color: white; color:black; text-align: center;">← Older revision</td>
<td colspan='2' style="background-color: white; color:black; text-align: center;">Revision as of 09:51, 24 February 2017</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l2" >Line 2:</td>
<td colspan="2" class="diff-lineno">Line 2:</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==Short Description==</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==Short Description==</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Recent developments in the 3GPP standard organization produced cellular standards for the Internet of Things (IoT). It is forecast that by the end of the decade billions IoT devices will be connected to the Internet, many in remote areas or poorly covered locations. The 3GPP produced two standards for the cellular IoT with extended coverage support: 4G based NB-IoT and a 2G based Extended Coverage GSM for IoT (EC-GSM-IoT) [1]. The latter promises up to 20 dB coverage increase compared to legacy solutions. The extended coverage is achieved by blindly repeating data packets. The terminal combines the blind repetitions before attempting to decode. There exist a number of promising combining schemes such as I/Q-, <del class="diffchange diffchange-inline">LLR</del>-, and <del class="diffchange diffchange-inline">hybrid</del>-combining. However, the optimal combining scheme varies with varying radio channel conditions.</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Recent developments in the 3GPP standard organization produced cellular standards for the Internet of Things (IoT). It is forecast that by the end of the decade billions IoT devices will be connected to the Internet, many in remote areas or poorly covered locations. The 3GPP produced two standards for the cellular IoT with extended coverage support: 4G based NB-IoT and a 2G based Extended Coverage GSM for IoT (EC-GSM-IoT) [1]. The latter promises up to 20 dB coverage increase compared to legacy solutions. The extended coverage is achieved by blindly repeating data packets. The terminal combines the blind repetitions before attempting to decode. There exist a number of promising combining schemes such as I/Q-, <ins class="diffchange diffchange-inline">Prefilter</ins>-, and <ins class="diffchange diffchange-inline">LLR</ins>-combining <ins class="diffchange diffchange-inline">or any combination thereof</ins>. However, the optimal combining scheme varies with varying radio channel conditions.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>In this project, the suitability of selected combining schemes under various radio channel conditions, such as AWGN and slow and fast fading LTV channels, shall be studied. Then, methods and algorithms to estimate the channel coherence time shall be developed. The estimated channel coherence time can then be used to optimally choose the best combining scheme for the observed channel conditions. The chosen algorithmic candidate can then be implemented in HDL and incorporated into the [[stoneEDGE]] project, which already includes signal conditioning, equalization, and channel decoding. The result can then be tested on a Kintex FPGA board with a [[PULP]] CPU in conjunction with an [[evalEDGE]] FMC module as analog front-end. This project is a perfect opportunity to solve a hot topic algorithmic problem and make cellular IoT receivers smart.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>In this project, the suitability of selected combining schemes under various radio channel conditions, such as AWGN and slow and fast fading LTV channels, shall be studied. Then, methods and algorithms to estimate the channel coherence time shall be developed. The estimated channel coherence time can then be used to optimally choose the best combining scheme for the observed channel conditions. The chosen algorithmic candidate can then be implemented in HDL and incorporated into the [[stoneEDGE]] project, which already includes signal conditioning, equalization, and channel decoding. The result can then be tested on a Kintex FPGA board with a [[PULP]] CPU in conjunction with an [[evalEDGE]] FMC module as analog front-end. This project is a perfect opportunity to solve a hot topic algorithmic problem and make cellular IoT receivers smart.</div></td></tr>
<!-- diff cache key iis_projects:diff:version:1.11a:oldid:2690:newid:2705 -->
</table>Weberbehttp://iis-projects.ee.ethz.ch/index.php?title=Make_Cellular_Internet_of_Things_Receivers_Smart&diff=2690&oldid=prevWeberbe: /* Short Description */2017-01-31T18:00:01Z<p><span dir="auto"><span class="autocomment">Short Description</span></span></p>
<table class="diff diff-contentalign-left" data-mw="interface">
<col class='diff-marker' />
<col class='diff-content' />
<col class='diff-marker' />
<col class='diff-content' />
<tr style='vertical-align: top;' lang='en'>
<td colspan='2' style="background-color: white; color:black; text-align: center;">← Older revision</td>
<td colspan='2' style="background-color: white; color:black; text-align: center;">Revision as of 18:00, 31 January 2017</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l2" >Line 2:</td>
<td colspan="2" class="diff-lineno">Line 2:</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==Short Description==</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==Short Description==</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Recent developments in the 3GPP standard organization produced cellular standards for the Internet of Things (IoT). It is forecast that by the end of the decade billions IoT devices will be connected to the Internet, many in remote areas or poorly covered locations. The 3GPP produced two standards for the cellular IoT with extended coverage support: 4G based NB-IoT and a 2G based Extended Coverage GSM for IoT (EC-GSM-IoT) [1]. The latter promises up to 20 dB coverage increase compared to legacy solutions. The extended coverage is achieved by blindly repeating data packets. The terminal combines the blind repetitions before attempting to decode. There exist a number of promising combining schemes such as I/Q-, LLR-, and hybrid-combining. However, <del class="diffchange diffchange-inline">not every </del>combining scheme <del class="diffchange diffchange-inline">is equally well suited for arbitrary </del>radio channel conditions.</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Recent developments in the 3GPP standard organization produced cellular standards for the Internet of Things (IoT). It is forecast that by the end of the decade billions IoT devices will be connected to the Internet, many in remote areas or poorly covered locations. The 3GPP produced two standards for the cellular IoT with extended coverage support: 4G based NB-IoT and a 2G based Extended Coverage GSM for IoT (EC-GSM-IoT) [1]. The latter promises up to 20 dB coverage increase compared to legacy solutions. The extended coverage is achieved by blindly repeating data packets. The terminal combines the blind repetitions before attempting to decode. There exist a number of promising combining schemes such as I/Q-, LLR-, and hybrid-combining. However, <ins class="diffchange diffchange-inline">the optimal </ins>combining scheme <ins class="diffchange diffchange-inline">varies with varying </ins>radio channel conditions.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>In this project, the suitability of selected combining schemes under various radio channel conditions, such as AWGN and slow and fast fading LTV channels, shall be studied. Then, methods and algorithms to estimate the channel coherence time shall be developed. The estimated channel coherence time can then be used to optimally choose the best combining scheme for the observed channel conditions. The chosen algorithmic candidate can then be implemented in HDL and incorporated into the [[stoneEDGE]] project, which already includes signal conditioning, equalization, and channel decoding. The result can then be tested on a Kintex FPGA board with a [[PULP]] CPU in conjunction with an [[evalEDGE]] FMC module as analog front-end. This project is a perfect opportunity to solve a hot topic algorithmic problem and make cellular IoT receivers smart.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>In this project, the suitability of selected combining schemes under various radio channel conditions, such as AWGN and slow and fast fading LTV channels, shall be studied. Then, methods and algorithms to estimate the channel coherence time shall be developed. The estimated channel coherence time can then be used to optimally choose the best combining scheme for the observed channel conditions. The chosen algorithmic candidate can then be implemented in HDL and incorporated into the [[stoneEDGE]] project, which already includes signal conditioning, equalization, and channel decoding. The result can then be tested on a Kintex FPGA board with a [[PULP]] CPU in conjunction with an [[evalEDGE]] FMC module as analog front-end. This project is a perfect opportunity to solve a hot topic algorithmic problem and make cellular IoT receivers smart.</div></td></tr>
<!-- diff cache key iis_projects:diff:version:1.11a:oldid:2689:newid:2690 -->
</table>Weberbehttp://iis-projects.ee.ethz.ch/index.php?title=Make_Cellular_Internet_of_Things_Receivers_Smart&diff=2689&oldid=prevWeberbe: /* Short Description */2017-01-31T17:58:31Z<p><span dir="auto"><span class="autocomment">Short Description</span></span></p>
<table class="diff diff-contentalign-left" data-mw="interface">
<col class='diff-marker' />
<col class='diff-content' />
<col class='diff-marker' />
<col class='diff-content' />
<tr style='vertical-align: top;' lang='en'>
<td colspan='2' style="background-color: white; color:black; text-align: center;">← Older revision</td>
<td colspan='2' style="background-color: white; color:black; text-align: center;">Revision as of 17:58, 31 January 2017</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l2" >Line 2:</td>
<td colspan="2" class="diff-lineno">Line 2:</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==Short Description==</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==Short Description==</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Recent developments in the 3GPP standard organization produced cellular standards for the Internet of Things (IoT). It is forecast that by the end of the decade billions IoT devices will be connected to the Internet, many in remote or poorly covered <del class="diffchange diffchange-inline">spaces such as rural areas and basements</del>. The 3GPP produced two standards for the cellular IoT with extended coverage support: 4G based NB-IoT and a 2G based Extended Coverage GSM for IoT (EC-GSM-IoT). The latter promises up to 20 dB coverage increase compared to legacy solutions. The extended coverage is achieved by blindly repeating data packets. The terminal combines the blind repetitions before attempting to decode. There exist a number of promising combining schemes such as I/Q-, LLR-, and hybrid-combining. However, not every combining scheme is equally well suited for arbitrary radio channel conditions.</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Recent developments in the 3GPP standard organization produced cellular standards for the Internet of Things (IoT). It is forecast that by the end of the decade billions IoT devices will be connected to the Internet, many in remote <ins class="diffchange diffchange-inline">areas </ins>or poorly covered <ins class="diffchange diffchange-inline">locations</ins>. The 3GPP produced two standards for the cellular IoT with extended coverage support: 4G based NB-IoT and a 2G based Extended Coverage GSM for IoT (EC-GSM-IoT) <ins class="diffchange diffchange-inline">[1]</ins>. The latter promises up to 20 dB coverage increase compared to legacy solutions. The extended coverage is achieved by blindly repeating data packets. The terminal combines the blind repetitions before attempting to decode. There exist a number of promising combining schemes such as I/Q-, LLR-, and hybrid-combining. However, not every combining scheme is equally well suited for arbitrary radio channel conditions.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>In this project, the suitability of selected combining schemes under various radio channel conditions, such as AWGN and slow and fast fading LTV channels, shall be studied. Then, methods and algorithms to estimate the channel coherence time shall be developed. The estimated channel coherence time can then be used to optimally choose the best combining scheme for the observed channel conditions. The chosen algorithmic candidate can then be implemented in HDL and incorporated into the [[stoneEDGE]] project, which already includes signal conditioning, equalization, and channel decoding. The result can then be tested on a Kintex FPGA board with a [[PULP]] CPU in conjunction with an [[evalEDGE]] FMC module as analog front-end. This project is a perfect opportunity to solve a hot topic algorithmic problem and make cellular IoT receivers smart.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>In this project, the suitability of selected combining schemes under various radio channel conditions, such as AWGN and slow and fast fading LTV channels, shall be studied. Then, methods and algorithms to estimate the channel coherence time shall be developed. The estimated channel coherence time can then be used to optimally choose the best combining scheme for the observed channel conditions. The chosen algorithmic candidate can then be implemented in HDL and incorporated into the [[stoneEDGE]] project, which already includes signal conditioning, equalization, and channel decoding. The result can then be tested on a Kintex FPGA board with a [[PULP]] CPU in conjunction with an [[evalEDGE]] FMC module as analog front-end. This project is a perfect opportunity to solve a hot topic algorithmic problem and make cellular IoT receivers smart.</div></td></tr>
</table>Weberbehttp://iis-projects.ee.ethz.ch/index.php?title=Make_Cellular_Internet_of_Things_Receivers_Smart&diff=2688&oldid=prevWeberbe at 17:57, 31 January 20172017-01-31T17:57:26Z<p></p>
<table class="diff diff-contentalign-left" data-mw="interface">
<col class='diff-marker' />
<col class='diff-content' />
<col class='diff-marker' />
<col class='diff-content' />
<tr style='vertical-align: top;' lang='en'>
<td colspan='2' style="background-color: white; color:black; text-align: center;">← Older revision</td>
<td colspan='2' style="background-color: white; color:black; text-align: center;">Revision as of 17:57, 31 January 2017</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l2" >Line 2:</td>
<td colspan="2" class="diff-lineno">Line 2:</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==Short Description==</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==Short Description==</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Recent developments in the 3GPP standard organization produced cellular standards for the Internet of Things (IoT). It is forecast that by the end of the decade billions IoT devices will be connected to the Internet, many in remote or poorly covered spaces such as rural areas and basements. The 3GPP produced two standards for the cellular IoT with extended coverage support: 4G based NB-IoT and a 2G based Extended Coverage GSM for IoT (EC-GSM-IoT). The latter promises up to 20 dB coverage increase compared to legacy solutions<del class="diffchange diffchange-inline">. Current research at the institute produced a first prototype of an EC-GSM-IoT modem as an extension to the [[stoneEDGE]] project</del>. The extended coverage is achieved by blindly repeating data packets <del class="diffchange diffchange-inline">up to 16 times</del>. The terminal <del class="diffchange diffchange-inline">attempts to combine </del>the blind repetitions before attempting to decode. There exist a number of combining schemes <del class="diffchange diffchange-inline">ranging from </del>I/Q-, <del class="diffchange diffchange-inline">prefilter-, equalizer-, Chase</del>-, and <del class="diffchange diffchange-inline">decoder</del>-combining. However, not every combining scheme is equally well suited for arbitrary radio channel conditions.</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Recent developments in the 3GPP standard organization produced cellular standards for the Internet of Things (IoT). It is forecast that by the end of the decade billions IoT devices will be connected to the Internet, many in remote or poorly covered spaces such as rural areas and basements. The 3GPP produced two standards for the cellular IoT with extended coverage support: 4G based NB-IoT and a 2G based Extended Coverage GSM for IoT (EC-GSM-IoT). The latter promises up to 20 dB coverage increase compared to legacy solutions. The extended coverage is achieved by blindly repeating data packets. The terminal <ins class="diffchange diffchange-inline">combines </ins>the blind repetitions before attempting to decode. There exist a number of <ins class="diffchange diffchange-inline">promising </ins>combining schemes <ins class="diffchange diffchange-inline">such as </ins>I/Q-, <ins class="diffchange diffchange-inline">LLR</ins>-, and <ins class="diffchange diffchange-inline">hybrid</ins>-combining. However, not every combining scheme is equally well suited for arbitrary radio channel conditions.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>In this project, the suitability of selected combining schemes under various radio channel conditions, such as AWGN and slow and fast fading LTV channels, shall be studied. Then, methods and algorithms to estimate the channel coherence time shall be developed. The estimated channel coherence time can then be used to optimally choose the best combining scheme for the observed channel conditions. The chosen algorithmic candidate can then be implemented in HDL and incorporated into the [[stoneEDGE]] project, which already includes signal conditioning, equalization, and channel decoding. The result can then be tested on a Kintex FPGA board with a [[PULP]] CPU in conjunction with an [[evalEDGE]] FMC module as analog front-end<del class="diffchange diffchange-inline">. ASIC synthesis is also an option</del>. This project is a perfect opportunity to solve a hot topic algorithmic problem and make cellular IoT receivers smart.</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>In this project, the suitability of selected combining schemes under various radio channel conditions, such as AWGN and slow and fast fading LTV channels, shall be studied. Then, methods and algorithms to estimate the channel coherence time shall be developed. The estimated channel coherence time can then be used to optimally choose the best combining scheme for the observed channel conditions. The chosen algorithmic candidate can then be implemented in HDL and incorporated into the [[stoneEDGE]] project, which already includes signal conditioning, equalization, and channel decoding. The result can then be tested on a Kintex FPGA board with a [[PULP]] CPU in conjunction with an [[evalEDGE]] FMC module as analog front-end. This project is a perfect opportunity to solve a hot topic algorithmic problem and make cellular IoT receivers smart.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>===Status: Available ===</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>===Status: Available ===</div></td></tr>
<!-- diff cache key iis_projects:diff:version:1.11a:oldid:2687:newid:2688 -->
</table>Weberbehttp://iis-projects.ee.ethz.ch/index.php?title=Make_Cellular_Internet_of_Things_Receivers_Smart&diff=2687&oldid=prevWeberbe at 17:52, 31 January 20172017-01-31T17:52:47Z<p></p>
<table class="diff diff-contentalign-left" data-mw="interface">
<col class='diff-marker' />
<col class='diff-content' />
<col class='diff-marker' />
<col class='diff-content' />
<tr style='vertical-align: top;' lang='en'>
<td colspan='2' style="background-color: white; color:black; text-align: center;">← Older revision</td>
<td colspan='2' style="background-color: white; color:black; text-align: center;">Revision as of 17:52, 31 January 2017</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l2" >Line 2:</td>
<td colspan="2" class="diff-lineno">Line 2:</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==Short Description==</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==Short Description==</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Recent developments in the 3GPP standard organization produced cellular standards for the Internet of Things (IoT). It is forecast that by the end of the decade billions IoT devices will be connected to the Internet, many in remote or poorly covered spaces such as rural areas and basements. The 3GPP produced two standards for the cellular IoT with extended coverage support: 4G based NB-IoT and a 2G based Extended Coverage GSM for IoT (EC-GSM-IoT). The latter promises up to 20 dB coverage increase compared to legacy solutions. Current research at the institute produced a first prototype of an EC-GSM-IoT modem as an extension to the [[stoneEDGE]] project. The extended coverage <del class="diffchange diffchange-inline">comes with </del>blindly <del class="diffchange diffchange-inline">repetition </del>data packets <del class="diffchange diffchange-inline">over the air interface</del>. The terminal attempts to combine the blind repetitions before <del class="diffchange diffchange-inline">starting a decoding attempt</del>. There exist a number of combining schemes ranging from I/Q-, prefilter-, equalizer-, Chase-, and decoder-combining. However, not every combining scheme is equally well suited for arbitrary radio channel conditions.</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Recent developments in the 3GPP standard organization produced cellular standards for the Internet of Things (IoT). It is forecast that by the end of the decade billions IoT devices will be connected to the Internet, many in remote or poorly covered spaces such as rural areas and basements. The 3GPP produced two standards for the cellular IoT with extended coverage support: 4G based NB-IoT and a 2G based Extended Coverage GSM for IoT (EC-GSM-IoT). The latter promises up to 20 dB coverage increase compared to legacy solutions. Current research at the institute produced a first prototype of an EC-GSM-IoT modem as an extension to the [[stoneEDGE]] project. The extended coverage <ins class="diffchange diffchange-inline">is achieved by </ins>blindly <ins class="diffchange diffchange-inline">repeating </ins>data packets <ins class="diffchange diffchange-inline">up to 16 times</ins>. The terminal attempts to combine the blind repetitions before <ins class="diffchange diffchange-inline">attempting to decode</ins>. There exist a number of combining schemes ranging from I/Q-, prefilter-, equalizer-, Chase-, and decoder-combining. However, not every combining scheme is equally well suited for arbitrary radio channel conditions.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>In this project, the suitability of selected combining schemes under <del class="diffchange diffchange-inline">different </del>radio channel conditions, such as AWGN and slow and fast fading LTV channels, shall be studied. Then, methods and algorithms to estimate the channel coherence time shall be developed. The estimated channel coherence time can then be used to optimally choose the best combining scheme for the observed channel conditions. The chosen algorithmic candidate can then be implemented in HDL and incorporated into the [[stoneEDGE]] project, which already includes signal conditioning, equalization, and channel decoding. The result can then be tested on a Kintex FPGA board with a [[PULP]] CPU in conjunction with an [[evalEDGE]] FMC module as analog front-end. ASIC synthesis is also an option. This project is a perfect opportunity to solve a hot topic algorithmic problem and make cellular IoT receivers smart.</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>In this project, the suitability of selected combining schemes under <ins class="diffchange diffchange-inline">various </ins>radio channel conditions, such as AWGN and slow and fast fading LTV channels, shall be studied. Then, methods and algorithms to estimate the channel coherence time shall be developed. The estimated channel coherence time can then be used to optimally choose the best combining scheme for the observed channel conditions. The chosen algorithmic candidate can then be implemented in HDL and incorporated into the [[stoneEDGE]] project, which already includes signal conditioning, equalization, and channel decoding. The result can then be tested on a Kintex FPGA board with a [[PULP]] CPU in conjunction with an [[evalEDGE]] FMC module as analog front-end. ASIC synthesis is also an option. This project is a perfect opportunity to solve a hot topic algorithmic problem and make cellular IoT receivers smart.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>===Status: Available ===</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>===Status: Available ===</div></td></tr>
<!-- diff cache key iis_projects:diff:version:1.11a:oldid:2685:newid:2687 -->
</table>Weberbehttp://iis-projects.ee.ethz.ch/index.php?title=Make_Cellular_Internet_of_Things_Receivers_Smart&diff=2685&oldid=prevWeberbe: Created page with "Smart IoT receivers autonomously adapt their algorithms to the current radio channel conditions. ==Short Description== Recent developments in..."2017-01-31T17:34:23Z<p>Created page with "<a href="/index.php?title=File:SmartReceiver.png" title="File:SmartReceiver.png">thumb|Smart IoT receivers autonomously adapt their algorithms to the current radio channel conditions.</a> ==Short Description== Recent developments in..."</p>
<p><b>New page</b></p><div>[[File:SmartReceiver.png|thumb|Smart IoT receivers autonomously adapt their algorithms to the current radio channel conditions.]]<br />
<br />
==Short Description==<br />
Recent developments in the 3GPP standard organization produced cellular standards for the Internet of Things (IoT). It is forecast that by the end of the decade billions IoT devices will be connected to the Internet, many in remote or poorly covered spaces such as rural areas and basements. The 3GPP produced two standards for the cellular IoT with extended coverage support: 4G based NB-IoT and a 2G based Extended Coverage GSM for IoT (EC-GSM-IoT). The latter promises up to 20 dB coverage increase compared to legacy solutions. Current research at the institute produced a first prototype of an EC-GSM-IoT modem as an extension to the [[stoneEDGE]] project. The extended coverage comes with blindly repetition data packets over the air interface. The terminal attempts to combine the blind repetitions before starting a decoding attempt. There exist a number of combining schemes ranging from I/Q-, prefilter-, equalizer-, Chase-, and decoder-combining. However, not every combining scheme is equally well suited for arbitrary radio channel conditions.<br />
<br />
In this project, the suitability of selected combining schemes under different radio channel conditions, such as AWGN and slow and fast fading LTV channels, shall be studied. Then, methods and algorithms to estimate the channel coherence time shall be developed. The estimated channel coherence time can then be used to optimally choose the best combining scheme for the observed channel conditions. The chosen algorithmic candidate can then be implemented in HDL and incorporated into the [[stoneEDGE]] project, which already includes signal conditioning, equalization, and channel decoding. The result can then be tested on a Kintex FPGA board with a [[PULP]] CPU in conjunction with an [[evalEDGE]] FMC module as analog front-end. ASIC synthesis is also an option. This project is a perfect opportunity to solve a hot topic algorithmic problem and make cellular IoT receivers smart.<br />
<br />
===Status: Available ===<br />
: Looking for interested students (Semester or Master Thesis)<br />
: Contact: [[User:Weberbe|Benjamin Weber]]<br />
<br />
===Prerequisites===<br />
: Interest in mobile communication<br />
: Matlab<br />
: VHDL<br />
<br />
===Character===<br />
: 25% Theory<br />
: 25% Algorithm Design<br />
: 25% Implementation<br />
: 25% Testing<br />
<br />
===Professor===<br />
[http://www.iis.ee.ethz.ch/portrait/staff/huang.en.html Qiuting Huang]<br />
<br />
==References== <br />
[1] 3GPP. Release 13. http://www.3gpp.org/release-13, 2016.<br />
<br />
[[Category:Digital]]<br />
[[Category:Available]]<br />
[[Category:Hot]]<br />
[[Category:Semester Thesis]]<br />
[[Category:Master Thesis]]<br />
[[Category:FPGA]]<br />
[[Category:Telecommunications]]<br />
[[Category:Weberbe]]</div>Weberbe