IEICE TRANSACTIONS on Communications
Proportional Fair Resource Allocation for Uplink OFDMA Network Using Priority-Ranked Bargaining Model
Summary :
In this paper, we focus on the adaptive resource allocation issue for uplink OFDMA systems. The resources are allocated according to a proportional fairness criterion, which can strike an alterable balance between fairness and efficiency. Optimization theory is used to analyze the multi-constraint resource allocation problem and some heuristic characteristics about the optimal solution are obtained. To deal with the cohesiveness of the necessary conditions, we resort to bargaining theory that has been deeply investigated in game theory. Firstly, we summarize some assumptions about bargaining theory and show their similarities with the resource allocation process. Then we propose a priority-ranked bargaining model, whose primary contribution is applying the economic thought to the resource allocation process. A priority-ranked bargaining algorithm (PRBA) is subsequently proposed to permit the base station to auction the subcarriers one by one according to the users' current priority. By adjusting the predefined rate ratio flexibly, PRBA can achieve different degrees of fairness among the users' capacity. Simulation results show that PRBA can achieve similar performance of the max-min scheme and the NBS scheme in the case of appropriate predefined rate ratio.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E92-B No.8 pp.2638-2648
- Publication Date
- 2009/08/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E92.B.2638
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
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Keyword
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Lingkang ZENG, Yupei HU, Gang XIE, Yi ZHAO, Junyang SHEN, Yuan'an LIU, Jin-Chun GAO, "Proportional Fair Resource Allocation for Uplink OFDMA Network Using Priority-Ranked Bargaining Model" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 8, pp. 2638-2648, August 2009, doi: 10.1587/transcom.E92.B.2638.
Abstract: In this paper, we focus on the adaptive resource allocation issue for uplink OFDMA systems. The resources are allocated according to a proportional fairness criterion, which can strike an alterable balance between fairness and efficiency. Optimization theory is used to analyze the multi-constraint resource allocation problem and some heuristic characteristics about the optimal solution are obtained. To deal with the cohesiveness of the necessary conditions, we resort to bargaining theory that has been deeply investigated in game theory. Firstly, we summarize some assumptions about bargaining theory and show their similarities with the resource allocation process. Then we propose a priority-ranked bargaining model, whose primary contribution is applying the economic thought to the resource allocation process. A priority-ranked bargaining algorithm (PRBA) is subsequently proposed to permit the base station to auction the subcarriers one by one according to the users' current priority. By adjusting the predefined rate ratio flexibly, PRBA can achieve different degrees of fairness among the users' capacity. Simulation results show that PRBA can achieve similar performance of the max-min scheme and the NBS scheme in the case of appropriate predefined rate ratio.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.2638/_p
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@ARTICLE{e92-b_8_2638,
author={Lingkang ZENG, Yupei HU, Gang XIE, Yi ZHAO, Junyang SHEN, Yuan'an LIU, Jin-Chun GAO, },
journal={IEICE TRANSACTIONS on Communications},
title={Proportional Fair Resource Allocation for Uplink OFDMA Network Using Priority-Ranked Bargaining Model},
year={2009},
volume={E92-B},
number={8},
pages={2638-2648},
abstract={In this paper, we focus on the adaptive resource allocation issue for uplink OFDMA systems. The resources are allocated according to a proportional fairness criterion, which can strike an alterable balance between fairness and efficiency. Optimization theory is used to analyze the multi-constraint resource allocation problem and some heuristic characteristics about the optimal solution are obtained. To deal with the cohesiveness of the necessary conditions, we resort to bargaining theory that has been deeply investigated in game theory. Firstly, we summarize some assumptions about bargaining theory and show their similarities with the resource allocation process. Then we propose a priority-ranked bargaining model, whose primary contribution is applying the economic thought to the resource allocation process. A priority-ranked bargaining algorithm (PRBA) is subsequently proposed to permit the base station to auction the subcarriers one by one according to the users' current priority. By adjusting the predefined rate ratio flexibly, PRBA can achieve different degrees of fairness among the users' capacity. Simulation results show that PRBA can achieve similar performance of the max-min scheme and the NBS scheme in the case of appropriate predefined rate ratio.},
keywords={},
doi={10.1587/transcom.E92.B.2638},
ISSN={1745-1345},
month={August},}
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TY - JOUR
TI - Proportional Fair Resource Allocation for Uplink OFDMA Network Using Priority-Ranked Bargaining Model
T2 - IEICE TRANSACTIONS on Communications
SP - 2638
EP - 2648
AU - Lingkang ZENG
AU - Yupei HU
AU - Gang XIE
AU - Yi ZHAO
AU - Junyang SHEN
AU - Yuan'an LIU
AU - Jin-Chun GAO
PY - 2009
DO - 10.1587/transcom.E92.B.2638
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2009
AB - In this paper, we focus on the adaptive resource allocation issue for uplink OFDMA systems. The resources are allocated according to a proportional fairness criterion, which can strike an alterable balance between fairness and efficiency. Optimization theory is used to analyze the multi-constraint resource allocation problem and some heuristic characteristics about the optimal solution are obtained. To deal with the cohesiveness of the necessary conditions, we resort to bargaining theory that has been deeply investigated in game theory. Firstly, we summarize some assumptions about bargaining theory and show their similarities with the resource allocation process. Then we propose a priority-ranked bargaining model, whose primary contribution is applying the economic thought to the resource allocation process. A priority-ranked bargaining algorithm (PRBA) is subsequently proposed to permit the base station to auction the subcarriers one by one according to the users' current priority. By adjusting the predefined rate ratio flexibly, PRBA can achieve different degrees of fairness among the users' capacity. Simulation results show that PRBA can achieve similar performance of the max-min scheme and the NBS scheme in the case of appropriate predefined rate ratio.
ER -
English
