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ComplexityReduced Adaptive PAPR Reduction Method Using Null Space in MIMO Channel for MIMOOFDM Signals
Taku SUZUKI Mikihito SUZUKI Yoshihisa KISHIYAMA Kenichi HIGUCHI
Publication
IEICE TRANSACTIONS on Communications
Vol.E103B
No.9
pp.10191029 Publication Date: 2020/09/01 Publicized: 2020/03/23 Online ISSN: 17451345
DOI: 10.1587/transcom.2019EBT0005 Type of Manuscript: PAPER Category: Wireless Communication Technologies Keyword: OFDM, PAPR, MIMO, beamforming, clipping and filtering, peak cancellation, computational complexity reduction,
Full Text: FreePDF(2.1MB)
Summary:
This paper proposes a computational complexityreduced algorithm for an adaptive peaktoaverage power ratio (PAPR) reduction method previously developed by members of our research group that uses the null space in a multipleinput multipleoutput (MIMO) channel for MIMOorthogonal frequency division multiplexing (OFDM) signals. The proposed algorithm is an extension of the peak cancellation (PC) signalbased method that has been mainly investigated for perantenna PAPR reduction. This method adds the PC signal, which is designed so that the outofband radiation is removed/reduced, directly to the timedomain transmission signal at each antenna. The proposed method, referred to as PCCNC (PC with channelnull constraint), performs vectorlevel signal processing in the PC signal generation so that the PC signal is transmitted only to the null space in the MIMO channel. We investigate three methods to control the beamforming (BF) vector in the PC signal, which is a key factor in determining the achievable PAPR performance of the algorithm. Computer simulation results show that the proposed PCCNC achieves approximately the same throughputvs.PAPR performance as the previous method while dramatically reducing the required computational cost.

