Coalition formation game for cooperative cognitive radio using Gibbs Sampling

Tight upper and lower bounds for the success probability at a given primary receiver are obtained through a series of bounds developed for the Laplace transform of the

P ARTIAL C OOPERATION S CHEME (PCS) There are two facts that motivate us to study the partial cooperation scheme: (1) when all SUs know the complete channel availability information

Interestingly, although optimal admission control policies have the same form for non-preemptive and preemptive systems with memoryless call durations, differences emerge when

In our three player coalition formation experiment, we found that (i) two player coalitions are the most frequently observed type of coalition, (ii) over rounds the frequency of

versions of the Gibbs sampler for a univariate normal mixed linear model assuming prior independence of the variance components. The Gibbs sampler algorithm generates

In this context, the main contributions of this paper are: (1) to design a distributed game theoretical framework that enables single antenna transmitters to autonomously take

For this purpose, we formulate a coalition formation game in partition form among a number of peers that seek to cooperatively improve their download delay while downloading

the output of the detection modules (e.g. it informs the user or a central system) and stores other information such as the alert database. Finally, the detection module detects