西安电子科技大学学报 ›› 2023, Vol. 50 ›› Issue (2): 71-80.doi: 10.19665/j.issn1001-2400.2023.02.008

• 信息与通信工程 • 上一篇    下一篇

能量收集分布式基站系统的下行射频远端选择

黄志民(),肖琨()   

  1. 广西师范大学 电子工程学院,广西壮族自治区 桂林 541000
  • 收稿日期:2022-04-28 出版日期:2023-04-20 发布日期:2023-05-12
  • 通讯作者: 肖 琨(1974—),男,教授,博士,E-mail:xiaokun@gxnu.edu.cn
  • 作者简介:黄志民(1996—),男,广西师范大学硕士研究生,E-mail:huangzhimin_go@163.com
  • 基金资助:
    国家自然科学基金(61861006);广西壮族自治区自然科学基金(2018GXNSFAA050062)

Downlink remote radio frequency unit selection for the energy harvesting distributed base-station system

HUANG Zhimin(),XIAO Kun()   

  1. Institute of Electronic Engineering,Guangxi Normal University,Guilin 541000,China
  • Received:2022-04-28 Online:2023-04-20 Published:2023-05-12

摘要:

为解决能源短缺的问题,能量收集技术被提出并广泛应用于若干典型的通信系统中。为研究在具备能量收集能力的分布式基站系统中,如何有效地选择射频远端实现下行链路通信的问题,首先建立了不依赖电网等外部能源,仅由基带处理子系统、能量子系统和射频远端子系统构成的能量收集分布式基站系统模型;其次在模型基础上,以最大化信息传输速率为目标形成了覆盖波束赋形、能量共享、功率分配的联合优化问题。针对能量收集情况不可控的问题,提出了两种不同的能量共享策略,在此基础上分别对问题进行了数学分析,推导得到了系统射频远端最优的功率分配策略,从而归纳出所述系统模型的射频远端选择算法。最后,基于该文模型与算法开展了蒙特卡罗仿真,并与已有文献中的算法进行了对比。仿真结果表明,所提算法在平均信道容量和平均能量效率上具有良好的性能,有助于减少系统的功耗,节约资源。

关键词: 能量收集通信, 分布式基站系统, 射频远端, 下行链路, 功率分配

Abstract:

In order to solve the problem of energy shortage,energy harvesting technology has been proposed and widely used in several typical communication systems.The author studies the problem of how to effectively select remote radio frequency units to realize downlink communication in a distributed base-station system with energy harvesting capability.First,an energy harvesting distributed base-station system model is established,which does not rely on external energy sources such as power grids,and only consists of a baseband processing subsystem,energy subsystem,and remote radio frequency subsystem.Second,based on the model,a joint optimization problem covering beamforming,energy sharing,and power allocation is formed with the goal of maximizing the information transmission rate.Since the energy harvesting situation is uncontrollable,two different energy-sharing strategies are proposed,on the basis of which the problem is analyzed mathematically,the optimal power allocation strategy of the system remote radio frequency end is deduced,and then the remote radio frequency end selection algorithm for the system model is summarized.Finally,Monte Carlo simulation is carried out based on the model and algorithm in this paper,and compared with the literature algorithm.Simulation results show that the algorithm proposed in this paper has a good performance in terms of average channel capacity and energy efficiency,and helps to save system power consumption and resources.

Key words: energy harvesting communications, distributed base-station system, remote radio frequency unit, downlink, power allocation

中图分类号: 

  • TN925
Baidu
map