Energy Efficiency Optimization Of Multi-user Massive MIMO System

With the rapid development of wireless communication,5G has been gradually applied to various fields.Multi-user massive MIMO technology will become a hot research direction in the field of communication.In order to achieve reliable transmission and maximum energy efficiency of wireless communication system,multi-user MIMO cooperative beamforming and massive MIMO technology can effectively reduce interval interference and optimize energy efficiency,respectively.The thesis,on the premise of ensuring the quality of service,considering the energy consumption of hardware equipment to the system,and studies the energy efficiency optimization in wireless communication system.The detailed contents of this thesis are listed as follows:Firstly,Considering the multi-user interval interference will affect the quality of wireless communication.Multi-user MIMO cooperative beamforming technology can effectively reduce interval interference,and the minimum transmit power is optimized for the downlink of the system.Because of the nonconvex optimization problem of this objective function,The thesis first use the means of releasing the non-convex constraint-s step by step the original robust nonconvex optimization issues are transformed into relatively easy-to-solve equivalent issues,and then solve the equivalent problem by using the SCOP method.Finally,the influence of antenna on transmitting power is analyzed,the robustness of the proposed scheme is verified by simulation results.Secondly,considering the impact of base station transmitting power and hardware equipment on system energy efficiency,The thesis analyze the EE of massive MIMO based on a realistic CP model.The thesis first consider the CP model of the linear processing of signal,coder and decoder,backhaul,channel estimation,the EE metric is studied and provides basic insights into the EE-SE tradeoff.Then the thesis to study EE and throughput tradeoff of Massive MIMO,and to design a cellular network that achieves maximal EE.Finally,simulation results show that the hardware CP considered has a positive effect on EE optimization.