Fair end-to-end window-based congestion control
IEEE/ACM Transactions on Networking (TON)
QShine '06 Proceedings of the 3rd international conference on Quality of service in heterogeneous wired/wireless networks
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
Fairness of traffic controls for inelastic flows in the Internet
Computer Networks: The International Journal of Computer and Telecommunications Networking
Opportunistic scheduling for OFDM systems with fairness constraints
EURASIP Journal on Wireless Communications and Networking - Cognitive Radio and Dynamic Spectrum Sharing Systems
Downlink resource allocation for OFDMA-based multiservice networks with imperfect CSI
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Downlink resource management for packet transmission in OFDM wireless communication systems
IEEE Transactions on Wireless Communications
Optimal Downlink OFDMA Resource Allocation with Linear Complexity to Maximize Ergodic Rates
IEEE Transactions on Wireless Communications
Quality-driven scheduling for Long-Term Evolution system
International Journal of Mobile Communications
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Fair weights have been implemented to maintain fairness in recent resource allocation schemes. However, designing fair weights for multiservice wireless networks is not trivial because users' rate requirements are heterogeneous and their channel gains are variable. In this paper, we design fair weights for opportunistic scheduling of heterogeneous traffic in orthogonal frequency division multiple access (OFDMA) networks. The fair weights determine each user's share of rate for maintaining a utility notion of fairness. We then present a scheduling scheme which enforces users' long term average transmission rates to be proportional to the fair weights. The proposed scheduler takes the advantage of users' channel state information and the inherent flexibility of OFDMA resource allocation for efficient resource utilization. Furthermore, using the fair weights allows flexibility for realization of different scheduling schemes which accommodate a variety of requirements in terms of heterogeneous traffic types and user mobility. Simulation based performance analysis is presented to demonstrate efficacy of the proposed solution in this paper.