The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dans cette lettre, des méthodes d'allocation de puissance sont conçues pour les systèmes de relais opportunistes Amplify-and-Forward (AF) visant à minimiser la probabilité de panne. Tout d’abord, nous étendons le résultat sur la probabilité de panne et développons une expression approchée pour simplifier le problème d’allocation de puissance. Un problème d’optimisation correspondant est construit et prouvé convexe. Ensuite, une méthode numérique itérative est proposée pour trouver le facteur d'allocation de puissance optimal. Nous proposons également une méthode quasi optimale qui permet de calculer directement le facteur d'allocation de puissance afin de réduire la complexité des calculs. Les résultats numériques montrent que les méthodes proposées ont des performances similaires à celles idéales et surpassent considérablement l'allocation de puissance égale avec peu de frais généraux.
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Hui HUI, Shihua ZHU, Gangming LV, "Power Allocation for Amplify-and-Forward Opportunistic Relaying Systems" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 11, pp. 3541-3545, November 2009, doi: 10.1587/transcom.E92.B.3541.
Abstract: In this letter, power allocation methods are devised for Amplify-and-Forward (AF) opportunistic relaying systems aiming at minimizing the outage probability. First, we extend the result on outage probability in and develop an approximate expression to simplify the power allocation problem. A corresponding optimization problem is constructed and proved to be convex. Then an iterative numerical method is proposed to find the optimal power allocation factor. We also propose a near-optimal method which can directly calculate the power allocation factor to reduce computational complexity. Numerical results show that the proposed methods have a similar performance with the ideal one, and outperform equal power allocation significantly with little overhead.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.3541/_p
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@ARTICLE{e92-b_11_3541,
author={Hui HUI, Shihua ZHU, Gangming LV, },
journal={IEICE TRANSACTIONS on Communications},
title={Power Allocation for Amplify-and-Forward Opportunistic Relaying Systems},
year={2009},
volume={E92-B},
number={11},
pages={3541-3545},
abstract={In this letter, power allocation methods are devised for Amplify-and-Forward (AF) opportunistic relaying systems aiming at minimizing the outage probability. First, we extend the result on outage probability in and develop an approximate expression to simplify the power allocation problem. A corresponding optimization problem is constructed and proved to be convex. Then an iterative numerical method is proposed to find the optimal power allocation factor. We also propose a near-optimal method which can directly calculate the power allocation factor to reduce computational complexity. Numerical results show that the proposed methods have a similar performance with the ideal one, and outperform equal power allocation significantly with little overhead.},
keywords={},
doi={10.1587/transcom.E92.B.3541},
ISSN={1745-1345},
month={November},}
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TY - JOUR
TI - Power Allocation for Amplify-and-Forward Opportunistic Relaying Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 3541
EP - 3545
AU - Hui HUI
AU - Shihua ZHU
AU - Gangming LV
PY - 2009
DO - 10.1587/transcom.E92.B.3541
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2009
AB - In this letter, power allocation methods are devised for Amplify-and-Forward (AF) opportunistic relaying systems aiming at minimizing the outage probability. First, we extend the result on outage probability in and develop an approximate expression to simplify the power allocation problem. A corresponding optimization problem is constructed and proved to be convex. Then an iterative numerical method is proposed to find the optimal power allocation factor. We also propose a near-optimal method which can directly calculate the power allocation factor to reduce computational complexity. Numerical results show that the proposed methods have a similar performance with the ideal one, and outperform equal power allocation significantly with little overhead.
ER -