Average performance of minimum estimation and combining generalized selection combining in cellular systems

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

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

Abstract

This paper presents the average performance of the adaptive minimum estimation-combining generalized selection combining (MEC-GSC) scheme when used in a celluar deployment. In evaluating the performance, we consider a practical celluar environment in which we adopt log-normal shadowing for the local mean on top of Rayleigh fading, under the assumption that a user equipped with MEC-GSC is located uniformly over a cell of circular shape. Our numerical and simulation results show that the scheme under consideration considerably reduces the average receiver complexity of channel estimation and the average power drain from the battery while satisfying the desired performance requirement.

Original languageEnglish
Title of host publication2006 Asia-Pacific Conference on Communications, APCC
DOIs
Publication statusPublished - 2006
Event2006 Asia-Pacific Conference on Communications, APCC - Busan, Korea, Republic of
Duration: 2006 Aug 312006 Sep 1

Publication series

Name2006 Asia-Pacific Conference on Communications, APCC

Other

Other2006 Asia-Pacific Conference on Communications, APCC
CountryKorea, Republic of
CityBusan
Period06/8/3106/9/1

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Hwang, K. S., Ko, Y. C., Alouini, M. S., & Yang, H. C. (2006). Average performance of minimum estimation and combining generalized selection combining in cellular systems. In 2006 Asia-Pacific Conference on Communications, APCC [4023026] (2006 Asia-Pacific Conference on Communications, APCC). https://doi.org/10.1109/APCC.2006.255918