Proportional Fair Resource Allocation for Uplink OFDMA Network Using Priority-Ranked Bargaining Model

Lingkang ZENG  Yupei HU  Gang XIE  Yi ZHAO  Junyang SHEN  Yuan'an LIU  Jin-Chun GAO  

IEICE TRANSACTIONS on Communications   Vol.E92-B    No.8    pp.2638-2648
Publication Date: 2009/08/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.E92.B.2638
Print ISSN: 0916-8516
Type of Manuscript: PAPER
Category: Wireless Communication Technologies
adaptive resource allocation,  game theory,  bargaining theory,  uplink,  proportional fairness,  OFDMA,  priority-ranked,  auction,  

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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.