Research On Wireless Resource Allocation For Optimal Energy Efficiency

The rapid development of mobile communication technology has brought high-speed and convenient communication to human beings, and also caused a lot of energy consumption. How to reduce the energy consumption of the communication system so as to improve the efficiency of the system has become a hot research topic. Under this background, this paper mainly studies how to improve the efficiency of the communication system by optimizing the resources allocation, including OFDM subcarrier power allocation and distributed antenna power allocation.In this paper, a low complexity algorithm of energy-efficient resource allocation is proposed in multiuser OFDM systems with proportional rate constraints. The original algorithm optimization problem is divided into a two-step optimization. In the fist step, with all the sub-carriers are assigned equal power, the subcarrier allocation scheme is obtained by maximizing the spectrum efficiency of the system. In the second step, according to the subcarrier allocation result of the first step, the Lagrangian dual function is used to obtain the power allocation scheme of corresponding sub-carrier. The simulation results show that the algorithm proposed in this paper has obvious advantage of the time complexity and can enhance the energy-efficiency in case of high channel-noise-ratio compared with the existing algorithms.In this paper, the energy efficient power allocation of distributed antenna is also studied in multiuser cooperative distributed antenna system with minimum rate constraints.Firstly, the original non convex optimization problem is transformed into a convex optimization problem by using the principle of perspective function. Secondly, the convex optimization problem is solved by using of the ADMM algorithm and the Lagrangian dual function.Thus, the optimal power allocation scheme is achieved. Simulation results verify the convergence of the algorithm, and prove that the proposed algorithm is superior to the traditional rate adaptive method in improving the energy efficiency of the system.