MMSE interference rejection followed by joint maximum likelihood detection for distributed antenna network

Hirokazu Miyagi, Yukitoshi Sanada

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

2 Citations (Scopus)

Abstract

In this research minimum mean square error (MMSE) interference rejection is applied to a receiver in a distributed antenna networks (DAN). In the DAN, not only the desired signals, but also the interference signals may reach from nearby antennas. For the overloaded signal situation, non-linear detection schemes such as joint maximum likelihood detection can be applied to the received signals. However, the amount of metric calculations in the joint maximum likelihood detection (MLD) increases exponentially with the number of signal streams. Therefore, MMSE interference rejection followed by a MLD detection is proposed. The effect of residual interference after the MMSE interference rejection is evaluated. Numerical results obtained through computer simulation show that the performance of the proposed scheme is about 2.5 dB worse at a bit error rate (BER) of 10∼3 as compared with that of the joint MLD while the complexity reduces by a factor of 4 for QPSK signal streams. The BER performance degradation can be suppressed to about 1.0 dB by adjusting the value of the coefficient in the MMSE matrix.

Original languageEnglish
Title of host publication2017 23rd Asia-Pacific Conference on Communications
Subtitle of host publicationBridging the Metropolitan and the Remote, APCC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
Volume2018-January
ISBN (Electronic)9781740523905
DOIs
Publication statusPublished - 2018 Feb 27
Event23rd Asia-Pacific Conference on Communications, APCC 2017 - Perth, Australia
Duration: 2017 Dec 112017 Dec 13

Other

Other23rd Asia-Pacific Conference on Communications, APCC 2017
CountryAustralia
CityPerth
Period17/12/1117/12/13

Fingerprint

Mean square error
Maximum likelihood
Antennas
Bit error rate
Quadrature phase shift keying
Signal interference
Degradation
Computer simulation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

Cite this

Miyagi, H., & Sanada, Y. (2018). MMSE interference rejection followed by joint maximum likelihood detection for distributed antenna network. In 2017 23rd Asia-Pacific Conference on Communications: Bridging the Metropolitan and the Remote, APCC 2017 (Vol. 2018-January, pp. 1-5). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/APCC.2017.8303957

MMSE interference rejection followed by joint maximum likelihood detection for distributed antenna network. / Miyagi, Hirokazu; Sanada, Yukitoshi.

2017 23rd Asia-Pacific Conference on Communications: Bridging the Metropolitan and the Remote, APCC 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-5.

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

Miyagi, H & Sanada, Y 2018, MMSE interference rejection followed by joint maximum likelihood detection for distributed antenna network. in 2017 23rd Asia-Pacific Conference on Communications: Bridging the Metropolitan and the Remote, APCC 2017. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 23rd Asia-Pacific Conference on Communications, APCC 2017, Perth, Australia, 17/12/11. https://doi.org/10.23919/APCC.2017.8303957
Miyagi H, Sanada Y. MMSE interference rejection followed by joint maximum likelihood detection for distributed antenna network. In 2017 23rd Asia-Pacific Conference on Communications: Bridging the Metropolitan and the Remote, APCC 2017. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-5 https://doi.org/10.23919/APCC.2017.8303957
Miyagi, Hirokazu ; Sanada, Yukitoshi. / MMSE interference rejection followed by joint maximum likelihood detection for distributed antenna network. 2017 23rd Asia-Pacific Conference on Communications: Bridging the Metropolitan and the Remote, APCC 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-5
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