A rate-adaptive MAC protocol for multi-Hop wireless networks
Proceedings of the 7th annual international conference on Mobile computing and networking
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
A cross layer rate adaptation solution for IEEE 802.11 networks
Computer Communications
Experimentation and performance evaluation of rate adaptation algorithms in wireless mesh networks
Proceedings of the 5th ACM symposium on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
Smart sender: a practical rate adaptation algorithm for multirate IEEE 802.11 WLANs
IEEE Transactions on Wireless Communications - Part 1
Cognitive networks: adaptation and learning to achieve end-to-end performance objectives
IEEE Communications Magazine
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Sophisticated wireless interfaces support multiple transmission data rates and the selection of the optimal data rate has a critical impact on the overall network performance. Proper rate adaptation requires dynamically adjusting data rate based on current channel conditions. Despite several rate adaptation algorithms have been proposed in the literature, there are still challenging issues related to this problem. The main limitations of current solutions are concerned with how to estimate channel quality to appropriately adjust the rate. In this context, we propose a Cognitive Rate Adaptation mechanism for wireless networks. This mechanism includes a distributed self-configuration algorithm in which the selection of data rate is based on past experience. The proposed approach can react to changes in channel conditions and converge to the optimal data rate, while allowing a fair channel usage among network nodes. Simulation results obtained underline performance benefits with respect to existing rate adaptation algorithms.