Summary
|
For Full-Text PDF, please login, if you are a member of IEICE, or go to Pay Per View on menu list, if you are a nonmember of IEICE. |
|
Complexity-Reduced Adaptive PAPR Reduction Method Using Null Space in MIMO Channel for MIMO-OFDM Signals Taku SUZUKI Mikihito SUZUKI Yoshihisa KISHIYAMA Kenichi HIGUCHI 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 Keyword: OFDM, PAPR, MIMO, beamforming, clipping and filtering, peak cancellation, computational complexity reduction, Full Text: FreePDF(2.1MB) Summary: 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. | |||||
|
|