A Markov model for per-user service of opportunistic scheduling
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
A cross-layer elastic CAC and holistic opportunistic scheduling for QoS support in WiMAX
Computer Networks: The International Journal of Computer and Telecommunications Networking
MIMO downlink scheduling with non-perfect channel state knowledge
IEEE Transactions on Communications
Journal of Network and Computer Applications
Wireless Personal Communications: An International Journal
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Recent work on channel modeling and prediction has shown the feasibility of predicting the mobile radio channel, quite accurately, several milliseconds ahead in time for realistic Doppler spreads. Motivated by these results we consider opportunistic scheduling algorithms that exploit both current and future channel estimates. We demonstrate how this extra channel information can be used to improve the scheduling. Simulations show that the proposed algorithm can improve the inherent tradeoff between throughput, fairness and delay. The current approach builds on proportional fair scheduling but can also be generalized to other criteria.