Research On Dynamic Spectrum Allocation Algorithms In Cognitive Radio Network Based On Game Theory

Nowadays, the dynamic spectrum allocation of cognitive radio networks is one of theimportant wireless communication research fields. In this paper, the author elaborates on thecognitive radio networks and its dynamic spectrum allocation technique. Based on gametheory, specific solutions and algorithms for dynamic spectrum allocation were proposed. Thedetails are as follows:First, to meet the quality of service (QoS) of primary users, a non-cooperative gamemodel is established and the utility function is also designed. After drawing on the VCGmechanism, valuation function v1is designed. Considering channel load balancing, thevaluation function v2is designed by drawing the loading factor. To maximize cognitiveradio network throughput and ensure the fairness of resource allocation, a distributed dynamicspectrum allocation algorithm is proposed. Simulation results show that the algorithmconverges faster and ensure the fairness of resource allocation; that using valuation functioncan keep spectrum load-balance and that using valuation function can ensurethe higher fairness of resource allocation[1-2].Second, considering the interference dependence between cognitive users, a graphicalgame is established. To quantify the interference effect of cognitive user on primary users, theprice function is bringed in the utility function. And in this game, the existence of purestrategy Nash equilibrium is proved theoretically. To maximize cognitive radio networkthroughput and increase the probability of the cognitive users’ access to spectrum, adistributed dynamic spectrum allocation algorithm is proposed. Simulation results show thatthe algorithm converge faster, increase the probability of the cognitive users’ access tospectrum and maximize the throughput of the networks.