基于能效的渐近式RZF协作波束成形算法研究

doi:10.11959/j.issn.1000-436x.2019174

Abstract

Abstract:

A low complexity asymptotic regularized zero forcing cooperative beamforming algorithm based on energy efficiency in heterogeneous massive MIMO system was proposed,aiming at the problem that the current multi-flow regularization zero forcing beamforming algorithm sets the power constraint of each antenna in the regularization term as a fixed value and ignores the influences of factors such as the number of antennas,the number of users and QoS.The algorithm selects the optimal antenna power constraint set through the optimization method,and the optimal beamforming was asymptotically ob-tained to balance the interference among users to achieve the optimal energy efficiency,considering the impact of the number of antennas and users with the constraints of the antenna power and QoS.In view of the importance of backhaul in massive MIMO system,a backhaul power consumption model and the impact of backhaul power consumption on system performance was analyzed.Analysis and simulation results show that the proposed algorithm has great improvement of the performance,especially when the number of antennas is large.The algorithm is close to optimal performance,especially suitable for massive MIMO system of next generation communication.

Key words: energy efficiency, power constraint, regularized zero-forcing, Massive MIMO, heterogeneous network

CLC Number:

TN929.5

Yinghui ZHANG, Biao ZHANG, Xiaoting LU, Yang LIU. Asymptotic RZF cooperative beamforming algorithm based on energy efficiency[J]. Journal on Communications, 2019, 40(10): 169-179.

Figures/Tables 8

参数类型	值
$P_{s}^{\max} / W$	300
P_dl /W	1
Pl_ow/W	37
U_max/(Gbit·s^-1)	10
max_dl	24
宏小区半径/m	500
系统总带宽/MHz	10
子载波带宽/kHz	15
宏基站电路功率/mW	189
宏基站效率	0.388
$P_{s}^{W} / W$	53
P_ul /W	2
P_high/W	92.5
$C_{s}^{W} / (G b i t \cdot s^{- 1})$	36
Ndl	2
小小区半径/m	40
子载波数	600
噪声协方差/dBm	-127
小基站电路功率/mW	5.6
小基站功率	0.052

References 33

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