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• W2033138830 abstract "We propose adaptive capacity-region-aware algorithms for medium access control in wireless networks. In particular, the proposed algorithms are aware of the information-theoretic capacity region of a multiple access channel. According to the proposed algorithms, a node dynamically adjusts its channel access strategy based on the previous strategies of other nodes and the channel feedback. A strategy is composed of a transmission threshold and an aggression level. We propose symmetric learning algorithms for maximizing throughput. In addition, we propose asymmetric learning algorithms to strike a good balance between throughput and fairness. Furthermore, we propose novel methods to properly choose a finite number of available data transmission rates. We use both analytical results and simulation results to justify the usage of the proposed algorithms." @default.
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• W2033138830 date "2014-04-01" @default.
• W2033138830 modified "2023-10-16" @default.
• W2033138830 title "Dynamically Tuning Aggression Levels for Capacity-Region-Aware Medium Access Control in Wireless Networks" @default.
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• W2033138830 doi "https://doi.org/10.1109/twc.2014.022014.122024" @default.
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