Parallel Peak Cancellation Signal-Based PAPR Reduction Method Using Null Space in MIMO Channel for MIMO-OFDM Transmission

Taku SUZUKI  Mikihito SUZUKI  Kenichi HIGUCHI  

Publication
IEICE TRANSACTIONS on Communications   Vol.E104-B   No.5   pp.539-549
Publication Date: 2021/05/01
Publicized: 2020/11/20
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2020EBT0008
Type of Manuscript: PAPER
Category: Wireless Communication Technologies
Keyword: 
OFDM,  PAPR,  MIMO,  beamforming,  clipping and filtering,  peak cancellation,  computational complexity reduction,  parallel process,  

Full Text: FreePDF


Summary: 
This paper proposes a parallel peak cancellation (PC) process for the computational complexity-efficient algorithm called PC with a channel-null constraint (PCCNC) in the adaptive peak-to-average power ratio (PAPR) reduction method using the null space in a multiple-input multiple-output (MIMO) channel for MIMO-orthogonal frequency division multiplexing (OFDM) signals. By simultaneously adding multiple PC signals to the time-domain transmission signal vector, the required number of iterations of the iterative algorithm is effectively reduced along with the PAPR. We implement a constraint in which the PC signal is transmitted only to the null space in the MIMO channel by beamforming (BF). By doing so the data streams do not experience interference from the PC signal on the receiver side. Since the fast Fourier transform (FFT) and inverse FFT (IFFT) operations at each iteration are not required unlike the previous algorithm and thanks to the newly introduced parallel processing approach, the enhanced PCCNC algorithm reduces the required total computational complexity and number of iterations compared to the previous algorithms while achieving the same throughput-vs.-PAPR performance.