Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
CDMA uplink power control as a noncooperative game
Wireless Networks
A hybrid systems model for power control in multicell wireless data networks
Performance Evaluation - Selected papers from the first workshop on modeling and optimization in mobile, ad hoc and wireless networks (WiOpt'2003)
Wireless Communications & Mobile Computing - Special Issue: Emerging WLAN Apllications and Technologies
Topology control in wireless ad hoc and sensor networks
ACM Computing Surveys (CSUR)
Fundamentals of wireless communication
Fundamentals of wireless communication
IEEE Transactions on Wireless Communications
A power control game based on outage probabilities for multicell wireless data networks
IEEE Transactions on Wireless Communications
Distributed interference compensation for wireless networks
IEEE Journal on Selected Areas in Communications
Reverse-Engineering MAC: A Non-Cooperative Game Model
IEEE Journal on Selected Areas in Communications
Optimal physical carrier sense in wireless networks
Ad Hoc Networks
Optimal sensing strategy for opportunistic secondary users in a cognitive radio network
Proceedings of the 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems
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The performance of carrier sense multiple access (CSMA) wireless networks heavily depends on the level of spatial reuse, i.e., how many concurrent transmissions are allowed. Spatial reuse is primarily determined by physical carrier sense, and a key parameter for physical carrier sense is the carrier sense threshold. Our focus is on how to control the carrier sense threshold for improving network performance. We present a noncooperative game-theoretic framework, which leads to a fully distributed algorithm for tuning the carrier sense threshold. We introduce a utility function of each node, which is a nondecreasing concave function of the carrier sense threshold. A pricing function is further introduced to mitigate severe interference among nodes. The cost function is defined as the difference between the pricing and the utility functions. We prove that the noncooperative carrier sense game admits a unique Nash equilibrium (NE) under some technical conditions. We derive sufficient conditions that ensure the convergence of the synchronous and asynchronous update algorithms. Based on the analysis, we propose a fully distributed algorithm, entitled noncooperative carrier sense update algorithm (NCUA). Our simulation study indicates that NCUA outperforms standard CSMA with respect to the per-node throughput by 10-50%.