Slotted Aloha as a game with partial information
Computer Networks: The International Journal of Computer and Telecommunications Networking
Distributed optimal contention window control for elastic traffic in single-cell wireless LANs
IEEE/ACM Transactions on Networking (TON)
Utility-Optimal Random-Access Control
IEEE Transactions on Wireless Communications
Game theory models for IEEE 802.11 DCF in wireless ad hoc networks
IEEE Communications Magazine
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
Distributed interference compensation for wireless networks
IEEE Journal on Selected Areas in Communications
Distributed Contention Window Control for Selfish Users in IEEE 802.11 Wireless LANs
IEEE Journal on Selected Areas in Communications
Robust Detection of Selfish Misbehavior in Wireless Networks
IEEE Journal on Selected Areas in Communications
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Motivated by the fact that the exponential back-off algorithm is unfair towards nodes in the middle of networks, we propose two approaches to computing the optimal persistence probabilities in Medium Access Control based on game theory. The first is a cooperative game theoretic MAC with the objective of total payoff maximisation. By decomposing the overall problem into each user's subproblem, we solve the nonconvex random access problem in a distributed manner. The existence, uniqueness and stability of the Nash Equilibrium (NE) for the cooperative game are proved. The second is the noncooperative persistence scheme with an aim to minimise information exchanging among nodes. This formulation leads to a simple iterative scheme by which each user can arrive at a Pareto dominant NE. Simulation results illustrate the performance of these algorithms.