基于IAFS算法的毫米波大规模MIMO混合预编码方法

doi:10.11959/j.issn.1000-0801.2021192

Abstract

Abstract:

The millimeter-wave massive multiple-input multiple-output (MIMO) systems can overcome the adverse effects of the free-space signal path loss through the partial connection hybrid precoding method, which has the advantages of low hardware complexity and high energy efficiency.When the number of input data streams is equal to the number of radio frequency (RF) links, the hybrid precoding method based on partially connected structure and serial interference cancellation can be used.When the number of input data streams is not equal to the number of RF links, a hybrid precoding method based on improved artificial fish swarm (IAFS) algorithm was proposed.The core idea is that based on the spectral efficiency optimization criteria and the characteristics of partial connected structure, the spectral efficiency optimization problem of analog recoding matrix variables was transformed into the spectral efficiency optimization problem based on vector variables, and then the IAFS algorithm was used to solve the spectrum efficiency optimization problem.The simulation results show that the proposed method has good spectral efficiency and energy efficiency under the condition of low signal-to-noise ratio, and is expected to be applied in the real scene.

Key words: millimeter wave, massive MIMO, partially connected, hybrid precoding, improved artificial fish swarm algorithm

CLC Number:

TN919

Haoyi CHEN, Guangqiu LI, Hui LI. Hybrid precoding method for millimeter-wave massive MIMO systems based on IAFS algorithm[J]. Telecommunications Science, 2021, 37(8): 77-84.

Figures/Tables 7

参数	定义	仿真取值
P_t	总发射功率/W	1
P_PS	单个移相器功率/W	0.001
P_RF	单个射频链路功率/W	0.25
N_cl	群簇数	6
N_ray	每簇路径数	10
$σ_{i, j}^{2}$	每簇平均功率	1
δ	拥挤因子	0.6
z	迭代次数	10
num	人工鱼数	10
Step	初始步长	π/2
k_l	反比例系数	1
Vision	人工鱼视野	π
Trynumber	最大尝试次数	10

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