Opportunistic fair scheduling for the downlink of IEEE 802.16 wireless metropolitan area networks
QShine '06 Proceedings of the 3rd international conference on Quality of service in heterogeneous wired/wireless networks
Opportunistic scheduling for OFDM systems with fairness constraints
EURASIP Journal on Wireless Communications and Networking - Cognitive Radio and Dynamic Spectrum Sharing Systems
An interior point penalty method for utility maximization problems in OFDMA networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
An interior point penalty method for utility maximization problems in OFDMA networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Downlink resource allocation for OFDMA-based multiservice networks with imperfect CSI
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Utility proportional fair bandwidth allocation: an optimization oriented approach
QoS-IP'05 Proceedings of the Third international conference on Quality of Service in Multiservice IP Networks
Optimal Downlink OFDMA Resource Allocation with Linear Complexity to Maximize Ergodic Rates
IEEE Transactions on Wireless Communications
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Maintaining fairness using weighting factors is a common approach in resource allocation. However, computing weighting factors for multiservice wireless networks is not trivial because users' rate requirements are heterogeneous and their channel gains are variable. In this paper, we propose weighting factor computation and scheduling schemes for orthogonal frequency division multiple access (OFDMA) networks. The weighting factor computation scheme determines each user's share of rate for maintaining a utility notion of fairness. We then present a scheduling scheme which takes the users' weighting factors into consideration to allocate sub-carriers and power in OFDMA networks. The simulation results demonstrate that the proposed scheduling scheme outperforms an opportunistic scheme in terms of fairness performance in different scenarios, where the users are fixed or mobile.