Subcarrier and Power Allocation Based on Game Theory in Uplink OFDMA Systems
OFDMA上行链路中基于博弈论的子载波和功率分配算法

The main objective of the traditional OFDMA uplink resource allocation focuses on two aspects: one is to maximize the transmission rate of each user, the other is to minimize power. But both of them do not consider the power efficiency of each user. To deal with this problem, in this paper, a novel joint power and subcarrier allocation scheme in uplink OFDMA systems is proposed based on game theory. The goal is to maximize the power efficiency of each user under peak power constraint. For the purpose, the necessary condition for optimality using Karush-Kuhn-Tucker condition is drawn and the existence of the Nash Equilibrium of the function is proved. Then the subcarrier and power allocation algorithm is showed. The simulation results show that the power efficiency of the proposed algorithm increases greatly over that of the MaxRt+WF (Maximal marginal Rate subcarrier and WaterFilling power allocation), which is the optimal algorithm to derive the maximal transmission rate, and MaxFA+WF (Fixed subcarrier Allocation and WaterFilling power allocation). Meanwhile, if the pricing fact is properly chosen which the number is five in the simulation model, the sum of power efficiency can be maximized.