Resources Management In OFDMA Systems Based On Noncooperative Game Theory

OFDMA is a multiple access technology, which evolved from the OFDM systems, and has a promising future. Since the OFDM technology has a strong advantage in terms of resistance to multipath fading, it has obtained more and more attention in the field of wireless communications. In recent years, with the development of mobile communication technology, the requirement of the throughput of the system is increasing. As the shortage of resources, it is an emergency to find a way to use the resources efficiently. A method of non-cooperative game theory is introduced in the thesis to solve the resources allocation in the OFDMA systems.High data rate is needed in the OFDMA systems. The increasing demand for high data rate has led to high energy consumption in both transmitters and receivers. Unfortunately, portable mobile devices are usually only equipped with batteries. Besides, the battery capacity has improved at very slow pace over the past decades and is unable to satisfy the new energy requirements. So, how to consume less energy to achieve higher rates has achieved more attention.Firstly, the thesis studies the subcarrier allocation, power allocation and joint subcarrier and power allocation through using non-cooperative game. It adopts dynamic distributed iterative algorithm and the goal of the algorithm is to maximize the energy efficiency of users. Each user maximizes their utility function through the game. The simulation shows that the proposed algorithms can achieve higher energy efficiency utilization.Secondly, the thesis studies the single-cell system containing both the cellular and the D2 D users. Through using the non-cooperative game, the thesis studies the power allocation of the D2 D users in the system. In order to take full advantage of spectrum resources in the system, this thesis studies the mode selection strategy of D2 D users. Each D2 D user has two modes to choose from, the cellular user communication mode and D2 D communication mode. As shown in the numerical results, the mode selection algorithm has higher superiority in improving system performance.Finally, potential game is proposed to study the resource allocation in the system. The single-cell contains both ordinary UE and D2 D user and the D2 D users have the interference radius. The D2 D users’ goals are to maximize their SINRs. The simulation results have shown that the proposed algorithm performs better than the algorithm without the interference radius.