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Difference between revisions of "Power Saver Mode for Cellular Internet of Things Receivers"

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(Created page with "thumb|Cellular IoT Modems run on a single battery charge for up to 10 years. ==Short Description== In a few years billions of devices will be connected t...")
 
 
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In this project, methods to save power for 2G EC-GSM-IoT shall be studies. In particular algorithmic approaches to early detect high decoding success probability before all blind repetitions have been received shall be analyzed. The power saving from receiving all blind repetition to receiving only a subset is expected to be high. To properly quantize these saving simulations shall be run with a Matlab framework. The best found solution 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 problem and make the batteries of cellular IoT receivers actually last 10 years or more.
 
In this project, methods to save power for 2G EC-GSM-IoT shall be studies. In particular algorithmic approaches to early detect high decoding success probability before all blind repetitions have been received shall be analyzed. The power saving from receiving all blind repetition to receiving only a subset is expected to be high. To properly quantize these saving simulations shall be run with a Matlab framework. The best found solution 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 problem and make the batteries of cellular IoT receivers actually last 10 years or more.
  
===Status: Available ===
+
===Status: Obsolete ===
: Looking for interested students (Semester or Master Thesis)
 
 
: Contact: [[User:Weberbe|Benjamin Weber]]
 
: Contact: [[User:Weberbe|Benjamin Weber]]
  
===Prerequisites===
 
: Interest in mobile communication
 
: Matlab
 
: VHDL
 
: C
 
 
===Character===
 
: 25% Theory
 
: 25% Algorithm Design
 
: 25% Implementation
 
: 25% Testing
 
 
===Professor===
 
[http://www.iis.ee.ethz.ch/portrait/staff/huang.en.html Qiuting Huang]
 
 
==References==
 
[1] 3GPP. Release 13. http://www.3gpp.org/release-13, 2016.
 
 
[[Category:Digital]]
 
[[Category:Available]]
 
[[Category:Semester Thesis]]
 
[[Category:Master Thesis]]
 
[[Category:FPGA]]
 
[[Category:Telecommunications]]
 
 
[[Category:Weberbe]]
 
[[Category:Weberbe]]

Latest revision as of 16:59, 29 March 2017

Cellular IoT Modems run on a single battery charge for up to 10 years.

Short Description

In a few years billions of devices will be connected to the Internet of Things (IoT). Many devices will be small battery powered sensors. The latest cellular IoT standards by the 3GPP standard organization include enhancements to 2G and 4G networks [1] refereed to as EC-GSM-IoT and NB-IoT to enhance coverage by up to 20 dB and increase battery life up to 10 years. The extended coverage is achieved by blindly repeating transmit data while the receiver combines these blind repetitions before even starting to decode. Even though the standard itself includes features to facilitate 10 years of battery life, there exist methods independent of the standard to increase battery life even more.

In this project, methods to save power for 2G EC-GSM-IoT shall be studies. In particular algorithmic approaches to early detect high decoding success probability before all blind repetitions have been received shall be analyzed. The power saving from receiving all blind repetition to receiving only a subset is expected to be high. To properly quantize these saving simulations shall be run with a Matlab framework. The best found solution 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 problem and make the batteries of cellular IoT receivers actually last 10 years or more.

Status: Obsolete

Contact: Benjamin Weber