Proceedings Article10.1109/WCNC55385.2023.10118766
Alternating Projections Method for Joint Precoding and Peak-to-Average-Power Ratio Reduction
Sueda Taner,Christoph Studer +1 more
- 23 Dec 2022
pp 1-7
2
TL;DR: In this article , a joint PAR reduction and precoding algorithm was proposed for massive multiuser (MU) multiple-input multiple-output (MIMO) wireless systems.
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Abstract: Orthogonal frequency-division multiplexing (OFDM) time-domain signals exhibit high peak-to-average (power) ratio (PAR), which requires linear radio-frequency chains to avoid an increase in error-vector magnitude (EVM) and out-of-band (OOB) emissions. In this paper, we propose a novel joint PAR reduction and precoding algorithm that relaxes these linearity requirements in massive multiuser (MU) multiple-input multiple- output (MIMO) wireless systems. Concretely, we develop a novel alternating projections method, which limits the PAR and transmit power increase while simultaneously suppressing MU interference. We provide a theoretical foundation of our algorithm and provide simulation results for a massive MU-MIMO-OFDM scenario. Our results demonstrate significant PAR reduction while limiting the transmit power, without causing EVM or OOB emissions.
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Citations
Peak Cancellation Signal-Based Parallel PAPR Reduction Method Using Low-Dimensional Null Space in Massive MIMO-OFDM
J.T. Saito,Takanori Hara,Kenichi Higuchi +2 more
- 19 Feb 2024
TL;DR: A novel parallel peak cancellation signal-based PAPR reduction method using low-dimensional null space in massive MIMO-OFDM is proposed. The method reduces computational complexity and achieves high PAPR reduction capability.
1
Efficient Parallel PAPR Reduction Method Using Null-Constrained Peak Cancellation Signal for Massive MIMO-OFDM Systems
J.T. Saito,Takanori Hara,Kenichi Higuchi +2 more
TL;DR: A novel PAPR reduction method using null-constrained peak cancellation signal for massive MIMO-OFDM systems is proposed. The method utilizes the null space in the MIMO channel to reduce PAPR while preserving the BER and reducing computational complexity.
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