Antenna Selection and Power Allocation Design for 5G Massive MIMO Uplink Networks  

作　　者：Hongyuan Gao Yumeng Su Shibo Zhang Ming Diao 

机构地区：[1]College of Information and Communication Engineering, Harbin Engineering University

出　　处：《China Communications》2019年第4期1-15,共15页中国通信（英文版）

基　　金：supported by the National Natural Science Foundation of China (No. 61571149);the Special China Postdoctoral Science Foundation (2015T80325);the Fun-damental Research Funds for the Central Universities (HEUCFP201808);the China Postdoctoral Science Foundation (2013M530148)

摘　　要：Massive MIMO is one of the key technologies in future 5G communications which can satisfy the requirement of high speed and large capacity. This paper considers antenna selection and power allocation design to promote energy conservation then provide good quality of service(QoS) for the whole massive MIMO uplink network. Unlike previous related works, hardware impairment, transmission efficiency, and energy consumption at the circuit and antennas are involved in massive MIMO networks. In order to ensure the QoS, we consider the minimum rate constraint for each user and the system, which increases the complexity of power allocation problem for maximizing energy and spectral efficiency in massive MIMO system. To this end, a quantum-inspired social emotional optimization(QSEO) algorithm is proposed to obtain the optimal power control strategy in massive MIMO uplink networks. Simulation results assess the great advantages of QSEO which previous strategies do not have.Massive MIMO is one of the key technologies in future 5G communications which can satisfy the requirement of high speed and large capacity. This paper considers antenna selection and power allocation design to promote energy conservation then provide good quality of service(QoS) for the whole massive MIMO uplink network. Unlike previous related works, hardware impairment, transmission efficiency, and energy consumption at the circuit and antennas are involved in massive MIMO networks. In order to ensure the QoS, we consider the minimum rate constraint for each user and the system, which increases the complexity of power allocation problem for maximizing energy and spectral efficiency in massive MIMO system. To this end, a quantum-inspired social emotional optimization(QSEO) algorithm is proposed to obtain the optimal power control strategy in massive MIMO uplink networks. Simulation results assess the great advantages of QSEO which previous strategies do not have.

关 键 词：5G MASSIVE MIMO antenna selection power ALLOCATION quantum-inspiredsocial EMOTIONAL optimization 

分 类 号：TN[电子电信]