Difference between revisions of "Low-Complexity MIMO Detection"
From iis-projects
(Created page with "File:jammer_mitigation_asic.png|380px|thumb|A MIMO basestation mitigates an ongoing jamming attack while continuing to serve the legitimate user equipments. The signal proce...") |
|||
(3 intermediate revisions by the same user not shown) | |||
Line 1: | Line 1: | ||
− | [[File: | + | [[File:Low_complexity_mimo_bs6-crop.png|500px|thumb|High performance low-complexity iterative MIMO receiver.]] |
==Short Description== | ==Short Description== | ||
− | + | Iterative detection and decoding (IDD) is a performant, near-capacity achieving, MIMO detection and decoding scheme. However, due to multiple iterations, the complexity of the soft-input soft-output MIMO detector is of high relevance to outperform non-iterative methods. This project addresses the performance/complexity trade-off of state-of-the-art MIMO detection algorithms, with a special focus on GPU-based implementations. The objective of this project is to implement a low complexity MIMO detection algorithm and to optimize its performance with state-of-the-art machine learning methods. Therefore, a novel 5G-compliant link-level simulation and machine learning framework will be applied to implement performant GPU-based simulations. | |
− | |||
− | The | ||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
===Status: Available === | ===Status: Available === | ||
− | : Looking for 1-2 Semester/Master students | + | : Looking for 1-2 Semester/Bachelor/Master students |
: Contact: [https://iip.ethz.ch/people/profiles.MzAxMjAz.TGlzdC80MTExLDEwNjY3Mjg3NDU=.html Reinhard Wiesmayr] | : Contact: [https://iip.ethz.ch/people/profiles.MzAxMjAz.TGlzdC80MTExLDEwNjY3Mjg3NDU=.html Reinhard Wiesmayr] | ||
===Prerequisites=== | ===Prerequisites=== | ||
− | : | + | : Basic programming skills (e.g. MATLAB, or Python/Numpy/Tensorflow) |
− | : | + | : Wireless Communications |
− | |||
<!-- | <!-- | ||
===Status: Completed === | ===Status: Completed === | ||
Line 33: | Line 22: | ||
---> | ---> | ||
===Character=== | ===Character=== | ||
− | : | + | : 70% Programming (e.g. with MATLAB, Python, Tensorflow) |
− | : 20% | + | : 20% Theory |
+ | : 10% Literature research | ||
===Professor=== | ===Professor=== | ||
<!-- : [http://www.iis.ee.ethz.ch/people/person-detail.html?persid=194234 Luca Benini] ---> | <!-- : [http://www.iis.ee.ethz.ch/people/person-detail.html?persid=194234 Luca Benini] ---> |
Latest revision as of 13:54, 30 May 2022
Contents
Short Description
Iterative detection and decoding (IDD) is a performant, near-capacity achieving, MIMO detection and decoding scheme. However, due to multiple iterations, the complexity of the soft-input soft-output MIMO detector is of high relevance to outperform non-iterative methods. This project addresses the performance/complexity trade-off of state-of-the-art MIMO detection algorithms, with a special focus on GPU-based implementations. The objective of this project is to implement a low complexity MIMO detection algorithm and to optimize its performance with state-of-the-art machine learning methods. Therefore, a novel 5G-compliant link-level simulation and machine learning framework will be applied to implement performant GPU-based simulations.
Status: Available
- Looking for 1-2 Semester/Bachelor/Master students
- Contact: Reinhard Wiesmayr
Prerequisites
- Basic programming skills (e.g. MATLAB, or Python/Numpy/Tensorflow)
- Wireless Communications
Character
- 70% Programming (e.g. with MATLAB, Python, Tensorflow)
- 20% Theory
- 10% Literature research