Abstract
We analyze the problem of autonomous cognitive radios (CRs) competing for multiple potentially available channels that may offer different rewards due to their non-homogeneity. The non-homogeneity in channels may lead to payoff distribution conflict among CRs, as each CR would prefer to select the more desirable channels. In our model, CRs are not able to observe the channel selections of other competing CRs. Rather, they get an imperfect signal from which the channel selections must be inferred. We study an adaptive win-shift lose-randomize (WSLR) strategy that (without centralized coordination) enables the CRs to autonomously reach an efficient and fair payoff distribution outcome. We study the autonomous channel selection problem under different primary user (PU) occupancy models; analyze the proposed strategy under imperfect signals. We also investigate the impact of deviations by a selfish CR on the performance of the proposed strategy.
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This work was funded by Academy of Finland under the Academy Post Doctoral funding grant of Dr. Zaheer Khan.
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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Khan, Z., Lehtomäki, J. (2016). Adaptive Channel Selection among Autonomous Cognitive Radios with Imperfect Private Monitoring. In: Noguet, D., Moessner, K., Palicot, J. (eds) Cognitive Radio Oriented Wireless Networks. CrownCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 172. Springer, Cham. https://doi.org/10.1007/978-3-319-40352-6_49
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DOI: https://doi.org/10.1007/978-3-319-40352-6_49
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