具有能量获取基站的相邻多蜂窝小区的能量与频谱分配研究

童辉志; 张广驰; 周绪龙; 崔苗; 刘怡俊; 林凡

doi:10.12052/gdutxb.170089

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具有能量获取基站的相邻多蜂窝小区的能量与频谱分配研究

综合研究 | 更新时间：2026-05-27

- 具有能量获取基站的相邻多蜂窝小区的能量与频谱分配研究
- Joint Energy and Spectrum Allocation in Multiple Adjacent Cells with Energy Harvesting Base Stations
- 广东工业大学学报 2018年35卷第4期页码：68-74
- 作者机构：
  
  1. 广东工业大学信息工程学院,广东,广州,510006
  2. 广州杰赛科技股份有限公司,广东,广州,510310
- 作者简介：
  
  童辉志(1989–)，男，硕士研究生，主要研究方向为能量获取通信的资源调度
  张广驰(1982–)，副教授，主要研究方向为信号处理、无线通信和信息安全. E-mail：gczhang@gdut.edu.cn
- 基金信息：
  
  国家自然科学基金资助项目(61571138);广东省自然科学基金资助项目(2015A030313481);广东省学科建设专项资金科技创新项目(2013KJCX0060);广东省科技计划项目(2016A050503044, 2016KZ010101, 2016KZ010107, 2016B090904001, 2014B090901061, 2015B090901060, 2015B090908001);广州市科技计划项目(201604020127, 2014Y2-00211);广东工业大学培英育才计划资助项目(220411321)
- DOI：10.12052/gdutxb.170089
  中图分类号： TN929.5
- 网络首发：2018-07-09，
  
  纸质出版：2018
- 稿件说明：
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童辉志, 张广驰, 周绪龙, 崔苗, 刘怡俊, 林凡. 具有能量获取基站的相邻多蜂窝小区的能量与频谱分配研究[J]. 广东工业大学学报, 2018, 35(4): 68-74.

Tong Hui-zhi, Zhang Guang-chi, Zhou Xun-long, et al. Joint Energy and Spectrum Allocation in Multiple Adjacent Cells with Energy Harvesting Base Stations[J]. 2018, 35(4): 68-74.
童辉志, 张广驰, 周绪龙, 崔苗, 刘怡俊, 林凡. 具有能量获取基站的相邻多蜂窝小区的能量与频谱分配研究[J]. 广东工业大学学报, 2018, 35(4): 68-74. DOI： 10.12052/gdutxb.170089.

Tong Hui-zhi, Zhang Guang-chi, Zhou Xun-long, et al. Joint Energy and Spectrum Allocation in Multiple Adjacent Cells with Energy Harvesting Base Stations[J]. 2018, 35(4): 68-74. DOI： 10.12052/gdutxb.170089.

摘要

研究在基站具有能量获取功能的条件下

相邻多蜂窝小区下行链路的能量与频谱的协作分配

主要考虑用户效用和相邻多蜂窝小区基站收益的联合最大化. 在该问题中

用户对小区的选择是资源分配过程中的关键步骤. 其中

它的最优方法是穷搜索

但计算复杂度过高. 本文提出一种优化用户小区选择的次优方法——信道增益比选择法

解决用户快速选择小区的问题. 当用户选择小区后

本文用广义的Stackelberg博弈建模来解决每个蜂窝小区的能量与频谱分配问题. 同时基于信道增益比选择法提出两种基准方法——最大信道增益选择法和最短距离选择法. 仿真结果表明

信道增益比选择法相对于最大信道增益选择法和最短距离选择法具有更好的用户公平性和基站收益.

Abstract

Joint energy and spectrum cooperative allocation in the downlink is investigated for multiple adjacent cells equipped with energy harvesting base stations. In particular

the joint maximization of the users’ utilities and the base stations’ revenues in multiple adjacent cells is considered. The users’ choice of cells is a key step in the resource allocation process. Since each user has multiple options to join adjacent cells

the optimal method of solving the sum-utility maximizing energy and spectrum allocation problem is the exhaustive search

which finds the best solution among all possible sets of user choices and has high complexity. A computation-efficient suboptimal method of deciding which user can choose the appropriate cell to join is proposed based on the channel gain ratio selection. When the users’ choices are fixed

the energy and spectrum allocation problems can be matched with the framework of a generalized Stackelberg game

and can be solved. At the same time

two kinds of reference methods

the maximum channel gain selection method and shortest distance selection method

are proposed based on the channel gain ratio selection. Simulation results have shown that the proposed method has better utility and revenue performances than maximum channel gain selection and shortest distance selection method.

关键词

Keywords

references

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