This paper presents a Bayesian Potential game to model distributed joint power and channel allocation for cognitive radios with incomplete information. We propose a cooperative approach where secondary users (SUs) devote part of their transmission power in licensed channels to relaying primary users' (PUs) messages. In addition, we consider incomplete information in the decision making process, so as to avoid the need for a Common Control Channel (CCC), where users share information. This hypothesis improves the robustness and feasibility of the cognitive radio network supported by the proposed approach. Simulation results show that cooperation benefits both PUs and SUs and that the lack of complete information in the decision process slightly reduces performances in terms of Signal to Interference and Noise Ratio (SINR) and outage probability.
['Lorenza Giupponi', 'Christian Ibars']
Bayesian Potential Games to Model Cooperation for Cognitive Radios with Incomplete Information