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

doi:10.1109/APCC.2006.255918

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 proceeding › Conference 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 language	English
Title of host publication	2006 Asia-Pacific Conference on Communications, APCC
DOIs	https://doi.org/10.1109/APCC.2006.255918
Publication status	Published - 2006
Event	2006 Asia-Pacific Conference on Communications, APCC - Busan, Korea, Republic of Duration: 2006 Aug 31 → 2006 Sep 1

Publication series

Name	2006 Asia-Pacific Conference on Communications, APCC

Other

Other	2006 Asia-Pacific Conference on Communications, APCC
Country/Territory	Korea, Republic of
City	Busan
Period	06/8/31 → 06/9/1

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/APCC.2006.255918

Cite this

Average performance of minimum estimation and combining generalized selection combining in cellular systems. / Hwang, Kyu Sung; Ko, Young Chai; Alouini, Mohamed Slim; Yang, Hong Chuan.

2006 Asia-Pacific Conference on Communications, APCC. 2006. 4023026 (2006 Asia-Pacific Conference on Communications, APCC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hwang, KS, Ko, YC, Alouini, MS & Yang, HC 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, 2006 Asia-Pacific Conference on Communications, APCC, Busan, Korea, Republic of, 06/8/31. https://doi.org/10.1109/APCC.2006.255918

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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.",

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N2 - 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.

AB - 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.

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

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