Optimal power allocation for amplify-and-forward relay networks via conic programming

Tony Q.S. Quek; Moe Z. Win; Hyundong Shin; Marco Chiani

doi:10.1109/ICC.2007.835

Optimal power allocation for amplify-and-forward relay networks via conic programming

Tony Q.S. Quek, Moe Z. Win, Hyundong Shin, Marco Chiani

Department of Computer Science and Information Engineering

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

26 Citations (Scopus)

Abstract

Relay power allocation has been shown to provide substantial performance gain in wireless relay channels when perfect global channel state information (CSI) is available. In this paper, we show that by using a class of conic optimization theory, we can solve the relay power allocation problem for amplify-andforward (AF) relay networks in a straightforward manner. The problem formulation is such that the achievable rate with perfect global CSI is maximized under both the aggregate and individual relay power constraints for coherent and noncoherent AF relay networks. Numerical results quantify the performance gain using the optimal relay power allocation for both the coherent and noncoherent AF relay networks.

Original language	English
Title of host publication	2007 IEEE International Conference on Communications, ICC'07
Pages	5058-5063
Number of pages	6
DOIs	https://doi.org/10.1109/ICC.2007.835
Publication status	Published - 2007
Event	2007 IEEE International Conference on Communications, ICC'07 - Glasgow, Scotland, United Kingdom Duration: 2007 Jun 24 → 2007 Jun 28

Publication series

Name	IEEE International Conference on Communications
ISSN (Print)	0536-1486

Other

Other	2007 IEEE International Conference on Communications, ICC'07
Country/Territory	United Kingdom
City	Glasgow, Scotland
Period	07-06-24 → 07-06-28

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/ICC.2007.835

Cite this

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title = "Optimal power allocation for amplify-and-forward relay networks via conic programming",

abstract = "Relay power allocation has been shown to provide substantial performance gain in wireless relay channels when perfect global channel state information (CSI) is available. In this paper, we show that by using a class of conic optimization theory, we can solve the relay power allocation problem for amplify-andforward (AF) relay networks in a straightforward manner. The problem formulation is such that the achievable rate with perfect global CSI is maximized under both the aggregate and individual relay power constraints for coherent and noncoherent AF relay networks. Numerical results quantify the performance gain using the optimal relay power allocation for both the coherent and noncoherent AF relay networks.",

author = "Quek, {Tony Q.S.} and Win, {Moe Z.} and Hyundong Shin and Marco Chiani",

year = "2007",

doi = "10.1109/ICC.2007.835",

language = "English",

isbn = "1424403537",

series = "IEEE International Conference on Communications",

pages = "5058--5063",

booktitle = "2007 IEEE International Conference on Communications, ICC'07",

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Quek, TQS, Win, MZ, Shin, H & Chiani, M 2007, Optimal power allocation for amplify-and-forward relay networks via conic programming. in 2007 IEEE International Conference on Communications, ICC'07., 4289506, IEEE International Conference on Communications, pp. 5058-5063, 2007 IEEE International Conference on Communications, ICC'07, Glasgow, Scotland, United Kingdom, 07-06-24. https://doi.org/10.1109/ICC.2007.835

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AU - Shin, Hyundong

AU - Chiani, Marco

PY - 2007

Y1 - 2007

N2 - Relay power allocation has been shown to provide substantial performance gain in wireless relay channels when perfect global channel state information (CSI) is available. In this paper, we show that by using a class of conic optimization theory, we can solve the relay power allocation problem for amplify-andforward (AF) relay networks in a straightforward manner. The problem formulation is such that the achievable rate with perfect global CSI is maximized under both the aggregate and individual relay power constraints for coherent and noncoherent AF relay networks. Numerical results quantify the performance gain using the optimal relay power allocation for both the coherent and noncoherent AF relay networks.

AB - Relay power allocation has been shown to provide substantial performance gain in wireless relay channels when perfect global channel state information (CSI) is available. In this paper, we show that by using a class of conic optimization theory, we can solve the relay power allocation problem for amplify-andforward (AF) relay networks in a straightforward manner. The problem formulation is such that the achievable rate with perfect global CSI is maximized under both the aggregate and individual relay power constraints for coherent and noncoherent AF relay networks. Numerical results quantify the performance gain using the optimal relay power allocation for both the coherent and noncoherent AF relay networks.

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Y2 - 24 June 2007 through 28 June 2007

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Optimal power allocation for amplify-and-forward relay networks via conic programming

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