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

^*Corresponding author for this work

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

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 (US)
Title of host publication	2006 Asia-Pacific Conference on Communications, APCC
DOIs	https://doi.org/10.1109/APCC.2006.255918
State	Published - 2006
Externally published	Yes
Event	2006 Asia-Pacific Conference on Communications, APCC - Busan, Korea, Republic of Duration: Aug 31 2006 → Sep 1 2006

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	08/31/06 → 09/1/06

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/APCC.2006.255918

Cite this

@inproceedings{37a3f36d1462488c8d259185021c26c9,

title = "Average performance of minimum estimation and combining generalized selection combining in cellular systems",

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.",

author = "Hwang, {Kyu Sung} and Ko, {Young Chai} and Alouini, {Mohamed Slim} and Yang, {Hong Chuan}",

year = "2006",

doi = "10.1109/APCC.2006.255918",

language = "English (US)",

isbn = "1424405734",

series = "2006 Asia-Pacific Conference on Communications, APCC",

booktitle = "2006 Asia-Pacific Conference on Communications, APCC",

note = "2006 Asia-Pacific Conference on Communications, APCC ; Conference date: 31-08-2006 Through 01-09-2006",

}

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, 08/31/06. https://doi.org/10.1109/APCC.2006.255918

Average performance of minimum estimation and combining generalized selection combining in cellular systems. / Hwang, Kyu Sung; Ko, Young Chai; Alouini, Mohamed Slim et al.
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 › peer-review

TY - GEN

T1 - Average performance of minimum estimation and combining generalized selection combining in cellular systems

AU - Hwang, Kyu Sung

AU - Ko, Young Chai

AU - Alouini, Mohamed Slim

AU - Yang, Hong Chuan

PY - 2006

Y1 - 2006

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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U2 - 10.1109/APCC.2006.255918

DO - 10.1109/APCC.2006.255918

M3 - Conference contribution

AN - SCOPUS:44949098146

SN - 1424405734

SN - 9781424405732

T3 - 2006 Asia-Pacific Conference on Communications, APCC

BT - 2006 Asia-Pacific Conference on Communications, APCC

T2 - 2006 Asia-Pacific Conference on Communications, APCC

Y2 - 31 August 2006 through 1 September 2006

ER -

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

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