Adaptive combining for diversity rich environments

Mohamed Slim Alouini, Kyu Sung Hwang, Hong Chuan Yang, Young Chai Ko

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

2 Citations (Scopus)

Abstract

This paper presents an adaptive minimum-estimation minimum-combining switched-combining based scheme that reduces considerably the average receiver channel estimation complexity and the power drain from the battery while satisfying the desired performance requirement. More specifically analysis supported by numerical results show that the newly proposed combining scheme can achieve essentially the same performance as competing schemes such as generalized selection combining (GSC) and minimum selection GSC while offering considerable channel estimation and combined branches savings.

Original languageEnglish
Title of host publicationProceedings - 8th International Symposium on Signal Processing and its Applications, ISSPA 2005
Pages411-414
Number of pages4
DOIs
Publication statusPublished - 2005
Event8th International Symposium on Signal Processing and its Applications, ISSPA 2005 - Sydney, Australia
Duration: 2005 Aug 282005 Aug 31

Publication series

NameProceedings - 8th International Symposium on Signal Processing and its Applications, ISSPA 2005
Volume1

Other

Other8th International Symposium on Signal Processing and its Applications, ISSPA 2005
CountryAustralia
CitySydney
Period05/8/2805/8/31

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Alouini, M. S., Hwang, K. S., Yang, H. C., & Ko, Y. C. (2005). Adaptive combining for diversity rich environments. In Proceedings - 8th International Symposium on Signal Processing and its Applications, ISSPA 2005 (pp. 411-414). [1580283] (Proceedings - 8th International Symposium on Signal Processing and its Applications, ISSPA 2005; Vol. 1). https://doi.org/10.1109/ISSPA.2005.1580283