Minimum Estimation and Combining Generalized Selection Combining (MEC-GSC)

Mohamed Slim Alouini; Hong Chuan Yang

doi:10.1109/TWC.2007.05225

Minimum Estimation and Combining Generalized Selection Combining (MEC-GSC)

Mohamed Slim Alouini^*, Hong Chuan Yang

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

19 Scopus citations

Abstract

This paper introduces and analyzes a new 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 a certain desired performance requirement. The mathematical formalism is supported by some selected numerical examples that show that the newly proposed combining scheme can essentially achieve the same performance as competing schemes such as generalized selection combining (GSC) while offering 50 % channel estimation and 75 % processing power savings for some system parameters of interest.

Original language	English (US)
Pages (from-to)	526-532
Number of pages	7
Journal	IEEE Transactions on Wireless Communications
Volume	6
Issue number	2
DOIs	https://doi.org/10.1109/TWC.2007.05225
State	Published - Feb 2007
Externally published	Yes

Keywords

Diversity techniques
Fading channel
Performance analysis
Selection combining
Switched combining

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Access to Document

10.1109/TWC.2007.05225

Cite this

@article{efb7da34dfc34f159e07ba17c49ab4ac,

title = "Minimum Estimation and Combining Generalized Selection Combining (MEC-GSC)",

abstract = "This paper introduces and analyzes a new 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 a certain desired performance requirement. The mathematical formalism is supported by some selected numerical examples that show that the newly proposed combining scheme can essentially achieve the same performance as competing schemes such as generalized selection combining (GSC) while offering 50 % channel estimation and 75 % processing power savings for some system parameters of interest.",

keywords = "Diversity techniques, Fading channel, Performance analysis, Selection combining, Switched combining",

author = "Alouini, {Mohamed Slim} and Yang, {Hong Chuan}",

year = "2007",

month = feb,

doi = "10.1109/TWC.2007.05225",

language = "English (US)",

volume = "6",

pages = "526--532",

journal = "IEEE Transactions on Wireless Communications",

issn = "1536-1276",

publisher = "Institute of Electrical and Electronics Engineers",

number = "2",

}

TY - JOUR

T1 - Minimum Estimation and Combining Generalized Selection Combining (MEC-GSC)

AU - Alouini, Mohamed Slim

AU - Yang, Hong Chuan

PY - 2007/2

Y1 - 2007/2

N2 - This paper introduces and analyzes a new 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 a certain desired performance requirement. The mathematical formalism is supported by some selected numerical examples that show that the newly proposed combining scheme can essentially achieve the same performance as competing schemes such as generalized selection combining (GSC) while offering 50 % channel estimation and 75 % processing power savings for some system parameters of interest.

AB - This paper introduces and analyzes a new 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 a certain desired performance requirement. The mathematical formalism is supported by some selected numerical examples that show that the newly proposed combining scheme can essentially achieve the same performance as competing schemes such as generalized selection combining (GSC) while offering 50 % channel estimation and 75 % processing power savings for some system parameters of interest.

KW - Diversity techniques

KW - Fading channel

KW - Performance analysis

KW - Selection combining

KW - Switched combining

UR - http://www.scopus.com/inward/record.url?scp=33847728636&partnerID=8YFLogxK

U2 - 10.1109/TWC.2007.05225

DO - 10.1109/TWC.2007.05225

M3 - Article

AN - SCOPUS:33847728636

SN - 1536-1276

VL - 6

SP - 526

EP - 532

JO - IEEE Transactions on Wireless Communications

JF - IEEE Transactions on Wireless Communications

IS - 2

ER -

Minimum Estimation and Combining Generalized Selection Combining (MEC-GSC)

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this