Research For Energy Efficiency Theory And Algorithms Based On Interference Coordination

Since the21st century, different countries all over the world have already realized that the increasing energy consumption problem has a serious influence on human being’s living environment. Therefore, the imperious demands of reducing greenhouse effect and protecting the ecological environment make the energy problem the most enevadable challenge and common mission that mankind needs to solve. In the meantime, the development of wireless communication is towards the direction of high rate, high bandwidth and high energy-efficiency. As representatives of the international organization for standardization,3GPP,"EARTH" from European Union and American "GreenTouch" all aim to promote energy efficiency of the entire network and reduce the system energy consumption.In the perspective of interference coordination, this paper carries out some research on the theory of energy efficiency and proposes some corresponding algorithms. The work relies on national supported project973Green Communication and863SON. Firstly, from the aspect of theoretical research, this paper proposes an energy saving technique considering co-channel interference in heterogeneous network and analyzes the energy efficiency problem combined with the downlink Coordinated Multiple Points (CoMP) technology in multicarrier orthogonal frequency division multiplexing (OFDM) system. Secondly, as for solving algorithm, we use convex optimization theory to obtain the optimal solution of model parameters, hence, optimize the energy efficiency control.The contributions of this paper include the following aspects:First of all, considering downlink co-channel interference existed in heterogeneous network, we put forward an energy saving interference management strategy based on sensing technology of small base stations. Using parallel vector particle swarm optimization algorithm, we receive the configuration parameters of the whole network’s minimum energy consumption through iteration. Through numerical simulation, we prove the excellent performance and lower complexity of the proposed algorithm. Furthermore, the proposed model and algorithm can be extended to various scenarios.In addition, as for homogeneous network, starting with two cooperative transmission points, we propose a power allocation scheme based on Nash Equilbrium Stackelberg Game optimization. Differing from traditional goals of simply maximizing the system’s throughput, we jointly consider throughput and energy efficiency and set both as objectives. Through strict mathematical deduction, we give out the theoretically closed-form solution, which is validated by computer simulation.