Efficient power allocation for fixed-gain amplify-and-forward relaying in rayleigh fading

Ammar Zafar; Redha Mahmoud Radaydeh; Yunfei Chen; Mohamed-Slim Alouini

doi:10.1109/ICCW.2013.6649267

Efficient power allocation for fixed-gain amplify-and-forward relaying in rayleigh fading

Ammar Zafar, Redha Mahmoud Radaydeh, Yunfei Chen, Mohamed-Slim Alouini

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

3 Scopus citations

Abstract

In this paper, we study power allocation strategies for a fixed-gain amplify-and-forward relay network employing multiple relays. We consider two optimization problems for the relay network: 1) optimal power allocation to maximize the end-to-end signal-to-noise ratio (SNR) and 2) minimizing the total consumed power while maintaining the end-to-end SNR over a threshold value. We assume that the relays have knowledge of only the channel statistics of all the links. We show that the SNR maximization problem is concave and the power minimization problem is convex. Hence, we solve the problems through convex programming. Numerical results show the benefit of allocating power optimally rather than uniformly. © 2013 IEEE.

Original language	English (US)
Title of host publication	2013 IEEE International Conference on Communications Workshops (ICC)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	402-406
Number of pages	5
ISBN (Print)	9781467357531
DOIs	https://doi.org/10.1109/ICCW.2013.6649267
State	Published - Jun 2013

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KAUST Repository Item: Exported on 2020-10-01

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10.1109/ICCW.2013.6649267

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title = "Efficient power allocation for fixed-gain amplify-and-forward relaying in rayleigh fading",

abstract = "In this paper, we study power allocation strategies for a fixed-gain amplify-and-forward relay network employing multiple relays. We consider two optimization problems for the relay network: 1) optimal power allocation to maximize the end-to-end signal-to-noise ratio (SNR) and 2) minimizing the total consumed power while maintaining the end-to-end SNR over a threshold value. We assume that the relays have knowledge of only the channel statistics of all the links. We show that the SNR maximization problem is concave and the power minimization problem is convex. Hence, we solve the problems through convex programming. Numerical results show the benefit of allocating power optimally rather than uniformly. {\textcopyright} 2013 IEEE.",

author = "Ammar Zafar and Radaydeh, {Redha Mahmoud} and Yunfei Chen and Mohamed-Slim Alouini",

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doi = "10.1109/ICCW.2013.6649267",

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Efficient power allocation for fixed-gain amplify-and-forward relaying in rayleigh fading. / Zafar, Ammar; Radaydeh, Redha Mahmoud; Chen, Yunfei et al.
2013 IEEE International Conference on Communications Workshops (ICC). Institute of Electrical and Electronics Engineers (IEEE), 2013. p. 402-406.

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

TY - GEN

T1 - Efficient power allocation for fixed-gain amplify-and-forward relaying in rayleigh fading

AU - Zafar, Ammar

AU - Radaydeh, Redha Mahmoud

AU - Chen, Yunfei

AU - Alouini, Mohamed-Slim

N1 - KAUST Repository Item: Exported on 2020-10-01

PY - 2013/6

Y1 - 2013/6

N2 - In this paper, we study power allocation strategies for a fixed-gain amplify-and-forward relay network employing multiple relays. We consider two optimization problems for the relay network: 1) optimal power allocation to maximize the end-to-end signal-to-noise ratio (SNR) and 2) minimizing the total consumed power while maintaining the end-to-end SNR over a threshold value. We assume that the relays have knowledge of only the channel statistics of all the links. We show that the SNR maximization problem is concave and the power minimization problem is convex. Hence, we solve the problems through convex programming. Numerical results show the benefit of allocating power optimally rather than uniformly. © 2013 IEEE.

AB - In this paper, we study power allocation strategies for a fixed-gain amplify-and-forward relay network employing multiple relays. We consider two optimization problems for the relay network: 1) optimal power allocation to maximize the end-to-end signal-to-noise ratio (SNR) and 2) minimizing the total consumed power while maintaining the end-to-end SNR over a threshold value. We assume that the relays have knowledge of only the channel statistics of all the links. We show that the SNR maximization problem is concave and the power minimization problem is convex. Hence, we solve the problems through convex programming. Numerical results show the benefit of allocating power optimally rather than uniformly. © 2013 IEEE.

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DO - 10.1109/ICCW.2013.6649267

M3 - Conference contribution

SN - 9781467357531

SP - 402

EP - 406

BT - 2013 IEEE International Conference on Communications Workshops (ICC)

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

Efficient power allocation for fixed-gain amplify-and-forward relaying in rayleigh fading

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