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In this paper, we study the optimization of an ad-hoc cognitive radio network (CRN) coexisting with a multi-cell primary radio network (PRN) utilizing spectrum underlay. To maximize the weighted sum rate (WSR) of the CRN, in contrast to the exclusive subchannel assignment (ESA) method considered in former results, we design shared subchannel assignment (SSA) method to approach the performance limit...
Cognitive Radios (CRs) are able to operate in a large attribute space and operational parameters are chosen from this space, depending on the sensed environment, to achieve best performance. In this paper we demonstrate that such choice of parameters and the attribute space impact robustness of the network under electronic and information attacks. Such impact results in various tradeoffs to be considered...
Recently there is a growing interest in providing and improving radio coverage for mobile phones and WLANs inside buildings. The need of such coverage appears mainly in office buildings, shopping malls, train stations where the subscriber density is very high. The cost of cellular systems and also the one of indoor wireless systems depend highly on the number of base stations required to achieve the...
Three applications in wireless networks where model-free stochastic learning is applicable, are discussed. The learning based optimization problems are formulated and simulation results are presented. Some open issues are also discussed.
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