A rate-adaptive MAC protocol for multi-Hop wireless networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Goodput Analysis and Link Adaptation for IEEE 802.11a Wireless LANs
IEEE Transactions on Mobile Computing
IEEE 802.11 rate adaptation: a practical approach
MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
Hybrid rate control for IEEE 802.11
Proceedings of the second international workshop on Mobility management & wireless access protocols
Performance Analysis of the IEEE 802.11 MAC and Physical Layer Protocol
WOWMOM '05 Proceedings of the Sixth IEEE International Symposium on World of Wireless Mobile and Multimedia Networks
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 Contention Window Control for Selfish Users in IEEE 802.11 Wireless LANs
IEEE Journal on Selected Areas in Communications
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Rate Adaptation (RA) for 802.11 has been deeply investigated in the past, in particular with the aim of achieving optimal RA with respect not only to channel-related errors but also to contention-related issues (i.e., collisions and variations in medium access times). Most of prior work in this field considered only RA from the point of view of a single node, i.e., evaluating the performance of different RA strategies adopted by the considered node in scenarios where other nodes use a fixed rate setting. In this paper, we analyze from a Game Theoretic perspective the case in which all users simultaneously perform RA. We show that state of the art strategies such as Goodput Optimal Rate Adaptation (GORA), in which every user selfishly tries to maximize his own performance accounting for issues such as collisions and medium access times, actually often results in degraded performance for all users, whereas simpler SNR-based RA schemes, which have been long regarded as sub-optimal, are actually much more robust.