Research Article
Adaptive Channel Selection among Autonomous Cognitive Radios with Imperfect Private Monitoring
@INPROCEEDINGS{10.1007/978-3-319-40352-6_49, author={Zaheer Khan and Janne Lehtom\aa{}ki}, title={Adaptive Channel Selection among Autonomous Cognitive Radios with Imperfect Private Monitoring}, proceedings={Cognitive Radio Oriented Wireless Networks. 11th International Conference, CROWNCOM 2016, Grenoble, France, May 30 - June 1, 2016, Proceedings}, proceedings_a={CROWNCOM}, year={2016}, month={6}, keywords={Adaptation Autonomous cognitive radios Heterogeneous channels Opportunistic spectrum access}, doi={10.1007/978-3-319-40352-6_49} }- Zaheer Khan
Janne Lehtomäki
Year: 2016
Adaptive Channel Selection among Autonomous Cognitive Radios with Imperfect Private Monitoring
CROWNCOM
Springer
DOI: 10.1007/978-3-319-40352-6_49
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 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.
