Correlation reduction precoding for joint decoding in overloaded MIMO-OFDM system on Rician channel

Tatsuro Yabe, Yukitoshi Sanada

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

3 Citations (Scopus)

Abstract

This paper presents a correlation reduction precoding scheme for joint decoding in an overloaded multiple input multiple output (MIMO)- orthogonal frequency division multiplexing (OFDM) system. In the overloaded MIMO system, the number of receive antenna elements is less than that of transmit antenna elements. Through joint maximum likelihood (ML) decoding a frequency diversity suppresses the BER degradation owing to the spatial multiplexing of signal streams. On a Rician channel, the correlation among the coded symbols deteriorates the performance of the joint ML decoding. Thus, this paper proposes the precoding scheme that reduces the correlation on the Rician channel. Numerical results obtained through computer simulation show that the proposed scheme improves the BER by a factor of 1/10 on the Rician channel with the Rician factor of 10.

Original languageEnglish
Title of host publication2014 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages23-28
Number of pages6
ISBN (Electronic)9781479961207
DOIs
Publication statusPublished - 2014 Jan 27
Event2014 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2014 - Kuching, Sarawak, Malaysia
Duration: 2014 Dec 12014 Dec 4

Other

Other2014 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2014
CountryMalaysia
CityKuching, Sarawak
Period14/12/114/12/4

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Signal Processing

Cite this

Yabe, T., & Sanada, Y. (2014). Correlation reduction precoding for joint decoding in overloaded MIMO-OFDM system on Rician channel. In 2014 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2014 (pp. 23-28). [7024418] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISPACS.2014.7024418