Difference between revisions of "Peak-to-average power Reduction"
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[[File:IIP_par_reduction.png|600px|thumb|Peak-to-average power reduction (PAR). Left: signal without PAR; right with PAR
[[File:IIP_par_reduction.png|600px|thumb|Peak-to-average power reduction (PAR). Left: signal without PAR; right with PAR]]
Revision as of 12:16, 29 October 2020
Data transmission over frequency-selective channels using orthogonal frequency-division multiplexing (OFDM) suffers from high peak-to-average power ratio (PAR). The high dynamic range of OFDM signals is further aggravated in multi-antenna or massive MIMO systems where hundreds of parallel OFDM stream must be transmitted wirelessly. This project aims at investigating new methods that reduce the PAR in massive MIMO-OFDM systems. The project can be either fully theoretical, half theory and half implementation, or purely VLSI implementation based. The tools to be learned in this project are numerical (convex) optimization and deep unfolding, a recent paradigm to tune algorithm parameters using deep learning frameworks.
- Looking for 1-2 Semester/Master students
- Contact: Christoph Studer
- VLSI I
- VLSI II (recommended)
- Communication Systems (recommended)
- 50% Theory
- 50% VLSI Design