A Low Complexity Non-linear Iterative Receiver for Overloaded MIMO-OFDM Systems

Shuhei Makabe, Satoshi Denno, Yafei Hou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a low complexity receiver that outperforms the MLD in overloaded MIMO-OFDM systems. The proposed receiver applies iterative noise cancellation to improve the transmission performance. A low complexity LLR calculation technique is introduced in the proposed receiver. The proposed low complexity iterative non-linear receiver achieves better transmission performance than the MLD with smaller calculational complexity. The performance of the proposed techniques is verified by computer simulation in a 6×3 overloaded MIMO channel. When the reception process is only iterative 2times, the proposed iterative non-linear receiver attains a gain of 0.8dB at the BER of 10-6. The computational complexity is evaluated in terms of the number of additions. The proposed receiver achieves such superior performance with the complexity which is about half as much as conventional soft input decoding with the MLD.

Original languageEnglish
Title of host publicationAPCC 2022 - 27th Asia-Pacific Conference on Communications
Subtitle of host publicationCreating Innovative Communication Technologies for Post-Pandemic Era
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages488-493
Number of pages6
ISBN (Electronic)9781665499279
DOIs
Publication statusPublished - 2022
Event27th Asia-Pacific Conference on Communications, APCC 2022 - Jeju Island, Korea, Republic of
Duration: Oct 19 2022Oct 21 2022

Publication series

NameAPCC 2022 - 27th Asia-Pacific Conference on Communications: Creating Innovative Communication Technologies for Post-Pandemic Era

Conference

Conference27th Asia-Pacific Conference on Communications, APCC 2022
Country/TerritoryKorea, Republic of
CityJeju Island
Period10/19/2210/21/22

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Aerospace Engineering
  • Automotive Engineering
  • Control and Optimization
  • Instrumentation

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