The fairness solution without deteriorating the system sum-rate is a challenge under a total energy constraint. One regenerative strategy is proposed to improve the fairness for bi-directional three-node relaying, which is based on decode-and-forward technique with network coding and power optimization. In this letter, the application of network coding decreases the number of transmission phases from traditional four phases to three phases. Moreover, the proposed power optimization algorithm can be applied in practical system, which transforms max-min optimization problem to linear programming (LP) with low complexity. Numerical simulations shows this strategy enhances the minimum of unidirectional transmission rate up to 94% as compared to a four-phase bi-directional strategy, and up to 46% as compared to the three-phase bi-directional strategy with equal-power allocation.
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Ning HU, Xiaofeng ZHONG, Ming ZHAO, Jing WANG, "Regenerative Strategy for Fairness in Bi-directional Three-Node Relaying" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 8, pp. 2736-2739, August 2008, doi: 10.1093/ietcom/e91-b.8.2736.
Abstract: The fairness solution without deteriorating the system sum-rate is a challenge under a total energy constraint. One regenerative strategy is proposed to improve the fairness for bi-directional three-node relaying, which is based on decode-and-forward technique with network coding and power optimization. In this letter, the application of network coding decreases the number of transmission phases from traditional four phases to three phases. Moreover, the proposed power optimization algorithm can be applied in practical system, which transforms max-min optimization problem to linear programming (LP) with low complexity. Numerical simulations shows this strategy enhances the minimum of unidirectional transmission rate up to 94% as compared to a four-phase bi-directional strategy, and up to 46% as compared to the three-phase bi-directional strategy with equal-power allocation.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.8.2736/_p
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@ARTICLE{e91-b_8_2736,
author={Ning HU, Xiaofeng ZHONG, Ming ZHAO, Jing WANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Regenerative Strategy for Fairness in Bi-directional Three-Node Relaying},
year={2008},
volume={E91-B},
number={8},
pages={2736-2739},
abstract={The fairness solution without deteriorating the system sum-rate is a challenge under a total energy constraint. One regenerative strategy is proposed to improve the fairness for bi-directional three-node relaying, which is based on decode-and-forward technique with network coding and power optimization. In this letter, the application of network coding decreases the number of transmission phases from traditional four phases to three phases. Moreover, the proposed power optimization algorithm can be applied in practical system, which transforms max-min optimization problem to linear programming (LP) with low complexity. Numerical simulations shows this strategy enhances the minimum of unidirectional transmission rate up to 94% as compared to a four-phase bi-directional strategy, and up to 46% as compared to the three-phase bi-directional strategy with equal-power allocation.},
keywords={},
doi={10.1093/ietcom/e91-b.8.2736},
ISSN={1745-1345},
month={August},}
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TY - JOUR
TI - Regenerative Strategy for Fairness in Bi-directional Three-Node Relaying
T2 - IEICE TRANSACTIONS on Communications
SP - 2736
EP - 2739
AU - Ning HU
AU - Xiaofeng ZHONG
AU - Ming ZHAO
AU - Jing WANG
PY - 2008
DO - 10.1093/ietcom/e91-b.8.2736
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2008
AB - The fairness solution without deteriorating the system sum-rate is a challenge under a total energy constraint. One regenerative strategy is proposed to improve the fairness for bi-directional three-node relaying, which is based on decode-and-forward technique with network coding and power optimization. In this letter, the application of network coding decreases the number of transmission phases from traditional four phases to three phases. Moreover, the proposed power optimization algorithm can be applied in practical system, which transforms max-min optimization problem to linear programming (LP) with low complexity. Numerical simulations shows this strategy enhances the minimum of unidirectional transmission rate up to 94% as compared to a four-phase bi-directional strategy, and up to 46% as compared to the three-phase bi-directional strategy with equal-power allocation.
ER -