Bit error rate analysis of mrc precoded massive MIMO-OFDM systems with peak cancellation

Tomoya Kageyama, Osamu Muta

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

4 被引用数 (Scopus)

抄録

In orthogonal frequency division multiplexing (OFDM) with massive multi-input multiple-output (mMIMO), the reduction of the high peak-to-average power ratio (PAPR) is a challenging problem. Recently, an adaptive peak cancellation is proposed to reduce the transmitted signalâ™s PAPR, while keeping the out-of-band leakage power (ACLR) as well as an in-band distortion power (EVM) below the predetermined and permissible value. In this paper, we propose an analytical method to evaluate achievable BER performance of downlink OFDM with the peak cancellation in massive multi-input-multioutput (mMIMO) systems using arbitrary numbers of transmit antennas and served users. In this method, bit error rate (BER) is derived based on the assumption that in-band distortion due to peak cancellation is approximated as random variable following Gaussian distribution, provided that variance of the Gaussian distribution in two user case is known. The results clarify that theoretical BER expressions for arbitrary numbers of transmit antennas and served users show good agreements with its simulation results. In addition, we clarified the impact of the increase of the number of transmit antennas on achievable BER and PAPR reduction capability in MRC precoded mMIMOOFDM system with the peak cancellation.

本文言語英語
ホスト出版物のタイトル2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728112206
DOI
出版ステータス出版済み - 9月 2019
イベント90th IEEE Vehicular Technology Conference, VTC 2019 Fall - Honolulu, 米国
継続期間: 9月 22 20199月 25 2019

出版物シリーズ

名前IEEE Vehicular Technology Conference
2019-September
ISSN(印刷版)1550-2252

会議

会議90th IEEE Vehicular Technology Conference, VTC 2019 Fall
国/地域米国
CityHonolulu
Period9/22/199/25/19

!!!All Science Journal Classification (ASJC) codes

  • コンピュータ サイエンスの応用
  • 電子工学および電気工学
  • 応用数学

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