Research On Energy-efficient Cooperative Beamforming Technology In Massive MIMO Heterogeneous Network

The energy consumption of information and communication technologies and wireless mobile networks will increase rapidly as the data transmission rate increases exponentially,and the telecommunications industry is seeking to implement green energy-saving networks.In this paper,considering the Massive MIMO heterogeneous networks structure,an energy efficiency(EE)cooperative beamfroming algorithm is proposed.The specific research contents are as follows:(1)Considering the maximum transmit power of the base station and its static circuit power consumption constraint in the Massive MIMO heterogeneous network,based on different cooperation schemes,the number of antennas equipped with small base stations,the number of Massive MIMO antennas,the Quality of Service(QoS)and the number of users,the EE optimal Coordinated Multi-point transmission Beamforming(CMBF)algorithm is proposed.This paper analyzes the influence of different parameters on system EE and derives the closed expression of optimal EE.The semi-positive relaxation method is used to minimize the system energy consumption,thereby improving the system EE.The analysis and simulatino results show that in the design of CMBF algorithm based on EE optimization,the number of users,the number of base stations parameter settings have a significant impact on the system EE.Therefore,the proposed algorithm can better optimize the system and realize the high EE heterogeneous netoworks design.(2)Based on the low complexity Multiflow-Rularized Zero-Forcing(Multiflow-RZF)beamforming design,studied the antenna transmit power constrained optimization which is more suitable for practical applications,considering the influence of the number of antennas,the number of users,and QoS,the EE optimal asymptotic Regularized Zero-forcing Coordinated Beamforming(ARZF-CoBF)algorithm is proposed.This paper defines the system power consumption model considering the backhaul structure and converts the CMBF algorithm design problem into a power set optimization problem.The ARZF-CoBF algorithm iteratively optimizes the power,and realizes the system EE optimally by progressively optimizing the Multiflow-RZF beamforming design.