Signals detection by coalitional formation in cognitive radio networks

Abstract

The imminent growth of data rate and amount of users on the evolution to the fIfth generation of mobile communications has contributed to a high demand for the use of the spectrum. Cognitive radio networks have arisen as a novel paradigm to mitigate the spectral scarcity that has become evident in the last few years and for making control of radioelectric spectrum access. This work proposes a cooperation model for cooperative spectrum sensing in Cognitive Radio networks based on Game Theory specifcally in coalition formation games. A scenario was designed with mobile SUs and a fxed PU. For the formation of coalitions an algorithm based in a metaheuristic solution was designed. With this algorithm, it was possible to design a coalition formation scenario in which SUs reach high detection probability values. The algorithm was implemented in MatLab and its operation was verifed. In addition, it was implemented in C ++ to be included in the HEATS-RT software platform, software for the surveillance of the radioelectric spectrum designed in our research group.