基于混合供能和能量协作的异构网络能量效率优化算法

曹阳; 钟烨; 彭醇陵; 彭小峰

doi:10.11959/j.issn.1000-436x.2022042

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基于混合供能和能量协作的异构网络能量效率优化算法

学术论文 | 更新时间：2024-06-05

- 基于混合供能和能量协作的异构网络能量效率优化算法
- Energy efficiency optimization algorithm of heterogeneous networks based on hybrid energy supply and energy cooperation
- 通信学报 2022年43卷第3期页码：135-147
- 作者机构：
  
  重庆理工大学电气与电子工程学院，重庆 400054
- 作者简介：
  
  [ "曹阳（1977- ），男，重庆人，博士，重庆理工大学教授、硕士生导师，主要研究方向为智能电网、通信理论等" ]
  [ "钟烨（1997- ），男，重庆人，重庆理工大学硕士生，主要研究方向为智能电网、混合供能通信系统等" ]
  [ "彭醇陵（1989- ），女，四川广安人，博士，重庆理工大学讲师，主要研究方向为无线通信、信息能量同传、协作通信、无线资源管理等" ]
  [ "彭小峰（1980- ），男，重庆人，重庆理工大学高级实验师，主要研究方向为无线电电子学" ]
- 基金信息：
  
  重庆市基础科学与前沿技术研究专项基金资助项目(cstc2019jcyj-msxmX0233);重庆市科学技术局基金资助项目(cstc2017shmsA40019);重庆市教育委员会科学技术研究计划基金资助项目(KJQN201901125);重庆市教育委员会科学技术研究计划基金资助项目(KJQN201901103);重庆市高校创新研究群体基金资助项目(CXQT21035);巴南区科学技术局基金资助项目(2019TJ07);重庆理工大学科研启动基金资助项目(2019ZD127)
- DOI：10.11959/j.issn.1000-436x.2022042
  中图分类号： TN929.5
- 网络出版日期：2022-03，
  
  纸质出版日期：2022-03-25
- 稿件说明：
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曹阳, 钟烨, 彭醇陵, 等. 基于混合供能和能量协作的异构网络能量效率优化算法[J]. 通信学报, 2022,43(3):135-147.

Yang CAO, Ye ZHONG, Chunling PENG, et al. Energy efficiency optimization algorithm of heterogeneous networks based on hybrid energy supply and energy cooperation[J]. Journal on communications, 2022, 43(3): 135-147.
曹阳, 钟烨, 彭醇陵, 等. 基于混合供能和能量协作的异构网络能量效率优化算法[J]. 通信学报, 2022,43(3):135-147. DOI： 10.11959/j.issn.1000-436x.2022042.

Yang CAO, Ye ZHONG, Chunling PENG, et al. Energy efficiency optimization algorithm of heterogeneous networks based on hybrid energy supply and energy cooperation[J]. Journal on communications, 2022, 43(3): 135-147. DOI： 10.11959/j.issn.1000-436x.2022042.

摘要

为降低异构蜂窝网络的基站能耗和同频干扰，联合能量收集与能量协作提出一种以能量效率优化为目标的联合优化算法。首先，考虑用户服务质量约束、蜂窝基站功率约束以及可再生能源收集约束，构建联合资源分配的混合整数非线性规划问题。其次，考虑到该问题是一个NP-难问题，难以直接求解，结合固定变量法将复杂原问题分解成单独求解用户关联、功率分配、能量协作3个子问题，分别利用拉格朗日对偶法、粒子群优化算法和匹配理论求解这3个子问题。最后，通过收敛迭代算法，联合以上3种算法求得原问题的最终解。仿真结果表明，所提算法相较于对比算法在收敛性和能量效率上均有改善。

Abstract

To reduce the base station energy consumption and co-channel interference in heterogeneous cellular networks

a joint optimization algorithm combined with energy harvesting and energy cooperation was proposed with the objective of energy efficiency optimization.First

a mixed-integer nonlinear programming problem for joint resource allocation was constructed considering the constraints of user service quality

the constraints of cellular base station power

and the constraints of renewable energy harvesting.Second

considering that the problem was an NP-hard problem which was difficult to solve directly

the complex original problem was decomposed into three subproblems

such as user association

power allocation

and energy cooperation

with the fixed-variable method

which were solved by using the Lagrangian pairwise method

particle swarm optimization algorithm

and matching theory

respectively.Finally

the final solution of the original problem was obtained by combining the above three algorithms through convergent iterative algorithms.The simulation results show that the proposed algorithm has improved convergence and system energy efficiency compared with the comparison algorithm.

关键词

Keywords

references

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