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Dynamic Resource Allocation Algorithm for Multi-cell OFDMA Systems Based on Noncooperative Game Theory |
Zhong Chong-xian; Li Chun-guo; Yang Lu-xi |
School of Information Science and Engineering, Southeast University, Nanjing 210096, China |
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Abstract Dynamic resource allocation algorithms are investigated for multi-cell Orthogonal Frequency Division Multiple Access (OFDMA) systems based on noncooperative game theory where the maximal power of each Base Station (BS) is assigned equally to all subcarriers and all BSs operate noncooperative user scheduling and resource allocation game at each subcarrier independently. Firstly, a joint noncooperative game framework is proposed for user scheduling and power allocation. Secondly, to simplify further, the whole procedure is divided into two steps where a noncooperative power allocation game model is formulated by introducing channel gain of each scheduled user into its pricing function. Thirdly, the existence and uniqueness of Nash equilibrium of the proposed game model are analyzed. Finally, a specific algorithm is developed accordingly. Simulation results demonstrate that the proposed algorithm improves system level fairness with good performance in terms of system throughput.
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Received: 02 June 2008
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