A framework for opportunistic scheduling in wireless networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
SCHEDULING IN A QUEUING SYSTEM WITH ASYNCHRONOUSLY VARYING SERVICE RATES
Probability in the Engineering and Informational Sciences
Generalized nash bargaining solution for bandwidth allocation
Computer Networks: The International Journal of Computer and Telecommunications Networking
Fair scheduling in cellular systems in the presence of noncooperative mobiles
INFOCOM'10 Proceedings of the 29th conference on Information communications
Convergence of proportional-fair sharing algorithms under general conditions
IEEE Transactions on Wireless Communications
CDMA/HDR: a bandwidth efficient high speed wireless data service for nomadic users
IEEE Communications Magazine
Opportunistic Scheduling in Cellular Systems in the Presence of Noncooperative Mobiles
IEEE Transactions on Information Theory
Fair scheduling in cellular systems in the presence of noncooperative mobiles
INFOCOM'10 Proceedings of the 29th conference on Information communications
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We consider the problem of centrally controlled 'fair' scheduling of resources to one of the many mobile stations connected to a base station (BS). The BS is the only entity making decisions in this framework based on truthful information from the mobiles on their radio channel. We study the well-known family of parametric a-fair scheduling problems from a game-theoretic perspective in which some of the mobiles may be noncooperative. We first show that if the BS is unaware of the noncooperative behavior from the mobiles, the noncooperative mobiles become successful in snatching the resources from the other cooperative mobiles, resulting in unfair allocations. If the BS is aware of the noncooperative mobiles, a new game arises with BS as an additional player. It can then do better by neglecting the signals from the noncooperative mobiles. The BS, however, becomes successful in eliciting the truthful signals from the mobiles only when it uses additional information (signal statistics). This new policy along with the truthful signals from mobiles forms a Nash Equilibrium (NE) called a Truth Revealing Equilibrium. Finally, we propose new iterative algorithms to implement fair scheduling policies that robustify the otherwise non-robust (in presence of noncooperation) a-fair scheduling algorithms.