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In this paper, the authors consider the problem of downlink resource allocation for proportional fairness of long term received rates of data users and quality of service for real time sessions in an OFDMA-based wireless system. The base station allocates available power and subchannels to individual users based on long term average received rates, Quality of Service (QoS) based rate constraints and channel conditions. They formulate and solve a joint bandwidth and power optimization problem, solving which provides a performance improvement with respect to existing resource allocation algorithms. They propose schemes for flat as well as frequency selective fading cases.
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