Research on Energy-efficient Optimized Power Allocation Based on Dinkelbach-Quadratic Algorithm in High-speed Railway Communication

被引：0

作者：

Gao, Yunbo ^{[1
]}

Li, Cuiran ^{[2
]}

Wang, Guorong ^{[3
]}

Li, Maoqing ^{[1
]}

机构：

[1] School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou,730070, China

[2] School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou,730070, China

[3] Automated Information Design Institute, China Railway Electrification Survey Design & Research Institute Co., Ltd., Tianjin,300250, China

来源：

Tiedao Xuebao/Journal of the China Railway Society | 2024年 / 46卷 / 09期

关键词：

Convex optimization - Railroad transportation - Railroads;

D O I：

10.3969/j.issn.1001-8360.2024.09.008

中图分类号：

学科分类号：

摘要：

In order to improve the energy efficiency of high-speed railway communication, an iterative algorithm based on Dinkelbach-Quadratic transform was proposed to solve the power allocation problem of high-speed railway communication downlink. Firstly, with the distributed antenna system model of high-speed railway communication being constructed by deploying remote antenna units in the cell, the energy efficiency optimization model was established based on perfect channel state information (CSI) and the minimum rate requirement of access point feedback in the train. Secondly, based on the established non-convex optimization model, the Dinkelbach transformation was used to transform the fractional nonlinear programming problem into a difference form. Finally, with the objective function further expanded by u-sing the Quadratic transformation characteristics, the optimal energy-efficient power allocation was completed by alternating iteration. The simulation results show that the proposed algorithm can take into account the system energy efficiency and spectrum efficiency while satisfying the minimum transmission rate and maximum transmission power. With the increase of the number of transmitting antennas and the number of receiving relays, the system performance was also significantly improved, with an enhancement of energy efficiency and spectrum efficiency performance by at least 5%, compared with traditional algorithm system. © 2024 Science Press. All rights reserved.

引用

页码：69 / 75