Cognitive Radio Game for Secondary Spectrum Access Problem

In this paper we develop a framework for resource allocation in a secondary spectrum access scenario, where a group of Cognitive Radios (CR) access Me resources of a primary system. We assume the primary system is a cellular OFDM-based network (operating in uplink. We develop an optimum resource allocation strategy, using cooperative Game Theory, which guarantee!; the primary's required QoS and allocates an achievable rate at a given bit error rate for the secondary, when possible. The proposed Cognitive Radio Game (CRG) is a network-assisted resource management method, where users (both primary find secondary) inform the primary system's BS of their channel state information and power limitation and the base station calculates the optimum sub-channel and power allocation for all users. Using Game theoretic axiom of fairness, i.e., Nash Bargaining Solutions (NBS), we develop an alternative efficient and fair resource allocation find compare its performance with the proposed CRG method. We use Sequential Quadratic Programming (SQP) to solve the proposed nonlinearly constrained CRG optimization problem.