Complexity-Reduced Adaptive PAPR Reduction Method Using Null Space in MIMO Channel for MIMO-OFDM Signals

Taku SUZUKI; Mikihito SUZUKI; Yoshihisa KISHIYAMA; Kenichi HIGUCHI

doi:10.1587/transcom.2019EBT0005

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Complexity-Reduced Adaptive PAPR Reduction Method Using Null Space in MIMO Channel for MIMO-OFDM Signals

Taku SUZUKI, Mikihito SUZUKI, Yoshihisa KISHIYAMA, Kenichi HIGUCHI

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This paper proposes a computational complexity-reduced algorithm for an adaptive peak-to-average power ratio (PAPR) reduction method previously developed by members of our research group that uses the null space in a multiple-input multiple-output (MIMO) channel for MIMO-orthogonal frequency division multiplexing (OFDM) signals. The proposed algorithm is an extension of the peak cancellation (PC) signal-based method that has been mainly investigated for per-antenna PAPR reduction. This method adds the PC signal, which is designed so that the out-of-band radiation is removed/reduced, directly to the time-domain transmission signal at each antenna. The proposed method, referred to as PCCNC (PC with channel-null constraint), performs vector-level 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 throughput-vs.-PAPR performance as the previous method while dramatically reducing the required computational cost.

Publication: IEICE TRANSACTIONS on Communications Vol.E103-B No.9 pp.1019-1029

Publication Date: 2020/09/01

Publicized: 2020/03/23

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2019EBT0005

Type of Manuscript: PAPER

Category: Wireless Communication Technologies

Authors

Taku SUZUKI
  Tokyo University of Science
Mikihito SUZUKI
  Tokyo University of Science
Yoshihisa KISHIYAMA
  NTT DOCOMO, INC
Kenichi HIGUCHI
  Tokyo University of Science

Keyword

OFDM, PAPR, MIMO, beamforming, clipping and filtering, peak cancellation, computational complexity reduction

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Taku SUZUKI, Mikihito SUZUKI, Yoshihisa KISHIYAMA, Kenichi HIGUCHI, "Complexity-Reduced Adaptive PAPR Reduction Method Using Null Space in MIMO Channel for MIMO-OFDM Signals" in IEICE TRANSACTIONS on Communications, vol. E103-B, no. 9, pp. 1019-1029, September 2020, doi: 10.1587/transcom.2019EBT0005.
Abstract: This paper proposes a computational complexity-reduced algorithm for an adaptive peak-to-average power ratio (PAPR) reduction method previously developed by members of our research group that uses the null space in a multiple-input multiple-output (MIMO) channel for MIMO-orthogonal frequency division multiplexing (OFDM) signals. The proposed algorithm is an extension of the peak cancellation (PC) signal-based method that has been mainly investigated for per-antenna PAPR reduction. This method adds the PC signal, which is designed so that the out-of-band radiation is removed/reduced, directly to the time-domain transmission signal at each antenna. The proposed method, referred to as PCCNC (PC with channel-null constraint), performs vector-level 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 throughput-vs.-PAPR performance as the previous method while dramatically reducing the required computational cost.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2019EBT0005/_p

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@ARTICLE{e103-b_9_1019,
author={Taku SUZUKI, Mikihito SUZUKI, Yoshihisa KISHIYAMA, Kenichi HIGUCHI, },
journal={IEICE TRANSACTIONS on Communications},
title={Complexity-Reduced Adaptive PAPR Reduction Method Using Null Space in MIMO Channel for MIMO-OFDM Signals},
year={2020},
volume={E103-B},
number={9},
pages={1019-1029},
abstract={This paper proposes a computational complexity-reduced algorithm for an adaptive peak-to-average power ratio (PAPR) reduction method previously developed by members of our research group that uses the null space in a multiple-input multiple-output (MIMO) channel for MIMO-orthogonal frequency division multiplexing (OFDM) signals. The proposed algorithm is an extension of the peak cancellation (PC) signal-based method that has been mainly investigated for per-antenna PAPR reduction. This method adds the PC signal, which is designed so that the out-of-band radiation is removed/reduced, directly to the time-domain transmission signal at each antenna. The proposed method, referred to as PCCNC (PC with channel-null constraint), performs vector-level 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 throughput-vs.-PAPR performance as the previous method while dramatically reducing the required computational cost.},
keywords={},
doi={10.1587/transcom.2019EBT0005},
ISSN={1745-1345},
month={September},}

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TY - JOUR
TI - Complexity-Reduced Adaptive PAPR Reduction Method Using Null Space in MIMO Channel for MIMO-OFDM Signals
T2 - IEICE TRANSACTIONS on Communications
SP - 1019
EP - 1029
AU - Taku SUZUKI
AU - Mikihito SUZUKI
AU - Yoshihisa KISHIYAMA
AU - Kenichi HIGUCHI
PY - 2020
DO - 10.1587/transcom.2019EBT0005
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E103-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2020
AB - This paper proposes a computational complexity-reduced algorithm for an adaptive peak-to-average power ratio (PAPR) reduction method previously developed by members of our research group that uses the null space in a multiple-input multiple-output (MIMO) channel for MIMO-orthogonal frequency division multiplexing (OFDM) signals. The proposed algorithm is an extension of the peak cancellation (PC) signal-based method that has been mainly investigated for per-antenna PAPR reduction. This method adds the PC signal, which is designed so that the out-of-band radiation is removed/reduced, directly to the time-domain transmission signal at each antenna. The proposed method, referred to as PCCNC (PC with channel-null constraint), performs vector-level 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 throughput-vs.-PAPR performance as the previous method while dramatically reducing the required computational cost.
ER -