Power Control And Rate Allocation In Cognitive Radio Networks: A Game Theoretical Approach

Cognitive Radio Technology can alleviate the contradiction between the resource ex-haustion at open spectrum bands and the under utilization of licensed spectrum bands. Itenables unauthorized radio devices to actively discover unoccupied licensed spectrum bandsand make them for proper use. When secondary user is communicating simultaneously withthe existence of primary user, it will cause interference to primary use. So it needs powercontrol for secondary user.In this thesis, we consider the problem of joint power and rate control for SUs in cog-nitive radio network by using non-cooperative game theory. The value of this work is that,besides basic power control, it can provide ?exible transmission rates to each SU, whichwill use networks radio resource efficiently. The contribution of this thesis is summarizedin the following:1. we propose a pricing based non-cooperative joint power and rate control game 3Gcellular cognitive radio network. This model uses pricing function to characterizethe interference power of secondary users. The utility function here describes thechoice and optimal transmission rate and transmit power.2. We propose a distributive joint power and rate control algorithm which finds anoptimal rate of transmission and allocates the power required to transmit by solvinga single game theory problem. This alleviates the difficulty of solving the multi-objective nonlinear optimization problem. We prove the Nash Equilibrium andPareto Optimality. Moreover, we discuss the feasible value of pricing factor in thepricing function.This dissertation is a innovative and original work for resource allocation of secondaryusers in cognitive radio networks , it is significant for dealing with spectrum resource ex-haustion and energy-efficient resource allocation in wireless networks in the future.