Resource Alocation Of MIMO Cgnitive Radio Based On Game Theory

Allocation of resources is one of the core issue of the MIMO cognitive radio.MIMO cognitive radio system and the single antenna system, expansion of the nullfrequency of multi-dimensional information, the information provided by theutilization system of resource allocation can improve system performance.Cognitive user MIMO cognitive radio system is a relationship of cooperation andcompetition, game theory is an effective mathematical tool for the cognitive userresource allocation. In this paper, the temperature limits in the primary user protectionmodel of the cognitive radio system model, the mathematical tools used formulti-parameter static non-cooperative game theory. Reasonable power band andbeamforming vector can reduce the interference between the cognitive users, improvethe efficiency of spectrum utilization, increase channel capacity allocated for eachcognitive user.This paper studies the power optimization,"utility function=function of interest+the cost function ideas form of utility function, create a new utility function. Amongthem, the benefit function for each cognitive user SIR; cost function of the cognitiveinterference generated by the user on the other cognitive users. Use this form of utilityfunction can be a more equitable allocation of transmit power to prove that a Nashequilibrium exists, and the simulation results prove that with the proposed powerallocation algorithm based on multi-parameter static non-cooperative game theory canimprove various cognitive user the SIR.To optimize the frequency of the above ideas, the interests of the function foreach cognitive user’s spectrum efficiency; cost function is the main consideration ofcognitive interference generated by the primary user. Prove that a Nash equilibriumexists, and the algorithm for the simulation show that using multi-parameter staticnon-cooperative game theory-based spectrum allocation algorithm can improve thespectral efficiency of the entire band.The emphasis is on joint power in MIMO cognitive radio systems, frequency, andbeam forming vectors joint optimization. The joint solution of the power and frequency of use of "self-serving strategy" and "altruistic strategy" phasebeamforming vector and the DBS algorithm, then the DBS algorithm and the use ofnon-cooperative game theory to achieve the Pareto optimal to get the power,frequency and beamforming vector of the joint optimal solution, and simulation showsthat, more than only a single parameter optimization to improve overall systemchannel capacity in MIMO Cognitive Radio System joint multi-parameteroptimization algorithm.The main contribution of this article:(1) Create a new utility function to optimize the power of the cognitive users atotal of9:00, compared to the average allocation of transmission power, the cognitiveuser SIR40.91%.(2) Create a new utility function to optimize the frequency of cognitive users atotal of9:00, compared to an average allocation of emission frequency licensed bandsspectral efficiency of36.43%.(3) Joint optimization of power, frequency, and beamforming vector, consideringthe joint solution of the power and frequency of the DBS algorithm and the use ofnon-cooperative game theory to reach the Pareto optimal, and the simulation showsthat on a number of parameters of the joint optimization of greater magnitude thanonly one parameter to optimize and improve the channel capacity.