Paper on Precoding and Peak-to-Average (Power) Reduction for Massive MIMO-OFDM Presented at Asilomar 2021!
Congratulations to Sueda Taner for her paper at the Asilomar Conference on Signals, Systems, and Computers 2021.
The paper “\(l^p\!-\!l^q\)-norm Minimization for Joint Precoding and Peak-to-Average Power Ratio Reduction” proposes a novel mixed \(l^p\!-\!l^q\)-norm approach to reduce the peak-to-average (power) ratio (PAR) of OFDM time-domain signals in a massive multiuser MIMO downlink scenario. The paper provides a theoretical basis for the proposed approach and indentifies a fundamental trade-off between the PAR and the power increase (PINC) of the solution vectors. Simulations results for a massive MU-MIMO-OFDM system demonstrate the efficacy of the proposed approach compared to existing methods that minimize the \(l^{\infty}\)-norm.
The paper has been co-authored by Sueda Taner and Prof. Christoph Studer and was presented at the Asilomar Conference on Signals, Systems, and Computers in October 2021. You can find a preprint of the paper on external page arXiv.