Adaptive Channel Allocation Spectrum Etiquette for Cognitive Radio Networks |
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Authors: | Nie Nie Cristina Comaniciu |
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Affiliation: | (1) Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA |
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Abstract: | In this work, we propose a game theoretic framework to analyze the behavior of cognitive radios for distributed adaptive channel
allocation. We define two different objective functions for the spectrum sharing games, which capture the utility of selfish
users and cooperative users, respectively. Based on the utility definition for cooperative users, we show that the channel
allocation problem can be formulated as a potential game, and thus converges to a deterministic channel allocation Nash equilibrium
point. Alternatively, a no-regret learning implementation is proposed for both scenarios and it is shown to have similar performance
with the potential game when cooperation is enforced, but with a higher variability across users. The no-regret learning formulation
is particularly useful to accommodate selfish users. Non-cooperative learning games have the advantage of a very low overhead
for information exchange in the network. We show that cooperation based spectrum sharing etiquette improves the overall network
performance at the expense of an increased overhead required for information exchange.
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Keywords: | cognitive radio channel allocation potential game no-regret learning |
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