In this paper, we study the problem of joint resource allocation in the two-way relay system, where a pair of multi-antenna users wish to exchange information via multi-antenna amplify-and-forward relay under orthogonal frequency-division multiplexing (OFDM) modulation. We formulate a sum-rate maximization problem subject to a limited power constraint for each user and relay. Our resource allocation strategy aims at finding the best pairing scheme and optimal power allocation over subchannels in frequency and space domains. This turns out to be a mixed integer programming problem. We then derive an asymptotically optimal solution though the Lagrange dual decomposition approach. Finally, simulation results are provided to demonstrate the performance gain of the proposed algorithms.
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Qi JIANG, Xuewen LIAO, Wei WANG, Shihua ZHU, "Joint Power Allocation and Subchannel-Pairing for Two-Way MIMO-OFDM Relay System" in IEICE TRANSACTIONS on Communications,
vol. E96-B, no. 5, pp. 1168-1175, May 2013, doi: 10.1587/transcom.E96.B.1168.
Abstract: In this paper, we study the problem of joint resource allocation in the two-way relay system, where a pair of multi-antenna users wish to exchange information via multi-antenna amplify-and-forward relay under orthogonal frequency-division multiplexing (OFDM) modulation. We formulate a sum-rate maximization problem subject to a limited power constraint for each user and relay. Our resource allocation strategy aims at finding the best pairing scheme and optimal power allocation over subchannels in frequency and space domains. This turns out to be a mixed integer programming problem. We then derive an asymptotically optimal solution though the Lagrange dual decomposition approach. Finally, simulation results are provided to demonstrate the performance gain of the proposed algorithms.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E96.B.1168/_p
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@ARTICLE{e96-b_5_1168,
author={Qi JIANG, Xuewen LIAO, Wei WANG, Shihua ZHU, },
journal={IEICE TRANSACTIONS on Communications},
title={Joint Power Allocation and Subchannel-Pairing for Two-Way MIMO-OFDM Relay System},
year={2013},
volume={E96-B},
number={5},
pages={1168-1175},
abstract={In this paper, we study the problem of joint resource allocation in the two-way relay system, where a pair of multi-antenna users wish to exchange information via multi-antenna amplify-and-forward relay under orthogonal frequency-division multiplexing (OFDM) modulation. We formulate a sum-rate maximization problem subject to a limited power constraint for each user and relay. Our resource allocation strategy aims at finding the best pairing scheme and optimal power allocation over subchannels in frequency and space domains. This turns out to be a mixed integer programming problem. We then derive an asymptotically optimal solution though the Lagrange dual decomposition approach. Finally, simulation results are provided to demonstrate the performance gain of the proposed algorithms.},
keywords={},
doi={10.1587/transcom.E96.B.1168},
ISSN={1745-1345},
month={May},}
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TY - JOUR
TI - Joint Power Allocation and Subchannel-Pairing for Two-Way MIMO-OFDM Relay System
T2 - IEICE TRANSACTIONS on Communications
SP - 1168
EP - 1175
AU - Qi JIANG
AU - Xuewen LIAO
AU - Wei WANG
AU - Shihua ZHU
PY - 2013
DO - 10.1587/transcom.E96.B.1168
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E96-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2013
AB - In this paper, we study the problem of joint resource allocation in the two-way relay system, where a pair of multi-antenna users wish to exchange information via multi-antenna amplify-and-forward relay under orthogonal frequency-division multiplexing (OFDM) modulation. We formulate a sum-rate maximization problem subject to a limited power constraint for each user and relay. Our resource allocation strategy aims at finding the best pairing scheme and optimal power allocation over subchannels in frequency and space domains. This turns out to be a mixed integer programming problem. We then derive an asymptotically optimal solution though the Lagrange dual decomposition approach. Finally, simulation results are provided to demonstrate the performance gain of the proposed algorithms.
ER -