Energy efficiency optimization algorithm of heterogeneous networks based on hybrid energy supply and energy cooperation

Yang CAO; Ye ZHONG; Chunling PENG; Xiaofeng PENG

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

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Energy efficiency optimization algorithm of heterogeneous networks based on hybrid energy supply and energy cooperation

Papers | 更新时间：2024-06-05

- Energy efficiency optimization algorithm of heterogeneous networks based on hybrid energy supply and energy cooperation
- Journal on Communications Vol. 43, Issue 3, Pages: 135-147(2022)
- 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：
- 基金信息：
  
  Chongqing Research Program of Basic Research and Frontier Technology(cstc2019jcyj-msxmX0233);The Science and Technology Bureau Project of Chongqing(cstc2017shmsA40019);Science and Technology Research Program of Chongqing Education Commission of China(KJQN201901125);Science and Technology Research Program of Chongqing Education Commission of China(KJQN201901103);Innovation Research Group of Universities in Chongqing(CXQT21035);The Bureau of Science and Technology Project of Banan District(2019TJ07);Research Start-up Fund of Chongqing University of Technology(2019ZD127)
- DOI：10.11959/j.issn.1000-436x.2022042
  CLC： TN929.5
- Online First：2022-03，
  
  Published：25 March 2022
- 稿件说明：
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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：

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

李国权 , 徐勇军 , 陈前斌 . 基于干扰效率多蜂窝异构无线网络最优基站选择及功率分配算法 [J ] . 电子与信息学报 , 2020 , 42 ( 4 ): 957 - 964 .

LI G Q , XU Y J , CHEN Q B . Interference efficiency-based base station selection and power allocation algorithm for multi-cell heterogeneous wireless networks [J ] . Journal of Electronics ＆ Information Technology , 2020 , 42 ( 4 ): 957 - 964 .

徐勇军 , 谢豪 , 陈前斌 , 等 . 基于不完美 CSI 的异构 NOMA 网络能量效率优化算法 [J ] . 通信学报 , 2020 , 41 ( 7 ): 131 - 140 .

XU Y J , XIE H , CHEN Q B , et al . Energy efficiency optimization algorithm for heterogeneous NOMA network based on imperfect CSI [J ] . Journal on Communications , 2020 , 41 ( 7 ): 131 - 140 .

王雪 , 刘京 , 孙佳妮 , 等 . 基于谱聚类的异构蜂窝超密集网络高能量效率资源分配算法 [J ] . 通信学报 , 2021 , 42 ( 7 ): 162 - 175 .

WANG X , LIU J , SUN J N , et al . Spectral clustering-based energy-efficient resource allocation algorithm in heterogeneous cellular ultra-dense network [J ] . Journal on Communications , 2021 , 42 ( 7 ): 162 - 175 .

FANG F , YE G S , ZHANG H J , et al . Energy-efficient joint user association and power allocation in a heterogeneous network [J ] . IEEE Transactions on Wireless Communications , 2020 , 19 ( 11 ): 7008 - 7020 .

OLWAL T O , DJOUANI K , KURIEN A M . A survey of resource management toward 5G radio access networks [J ] . IEEE Communications Surveys ＆ Tutorials , 2016 , 18 ( 3 ): 1656 - 1686 .

LI B , DAI Y H , DONG Z C , et al . Energy-efficient resources allocation with millimeter-wave massive MIMO in ultra dense HetNets by SWIPT and CoMP [J ] . IEEE Transactions on Wireless Communications , 2021 , 20 ( 7 ): 4435 - 4451 .

XU B Q , ZHU P C , LI J M , et al . Joint long-term energy efficiency optimization in C-RAN with hybrid energy supply [J ] . IEEE Transactions on Vehicular Technology , 2020 , 69 ( 10 ): 11128 - 11138 .

ALQASIR A M , KAMAL A E . Cooperative small cell HetNets with dynamic sleeping and energy harvesting [J ] . IEEE Transactions on Green Communications and Networking , 2020 , 4 ( 3 ): 774 - 782 .

XU B Y , CHEN Y , CARRIÓN J R , , et al . Resource allocation in energy-cooperation enabled two-tier NOMA HetNets toward green 5G [J ] . IEEE Journal on Selected Areas in Communications , 2017 , 35 ( 12 ): 2758 - 2770 .

EUTTAMARAJAH S , NG Y H , TAN C K . Energy-efficient joint power allocation and energy cooperation for hybrid-powered comp-enabled HetNet [J ] . IEEE Access , 2020 , 8 : 29169 - 29175 .

HAN D S , LI S J , PENG Y F , et al . Energy sharing-based energy and user joint allocation method in heterogeneous network [J ] . IEEE Access , 2020 , 8 : 37077 - 37086 .

YIN F F , ZENG M Y , ZHANG Z L , et al . Coded caching for smart grid enabled HetNets with resource allocation and energy cooperation [J ] . IEEE Transactions on Vehicular Technology , 2020 , 69 ( 10 ): 12058 - 12071 .

TANG J , LIU G , PAN Q T . A review on representative swarm intelligence algorithms for solving optimization problems:applications and trends [J ] . IEEE/CAA Journal of Automatica Sinica , 2021 , 8 ( 10 ): 1627 - 1643 .

郝少伟 , 李勇军 , 赵尚弘 , 等 . 基于改进粒子群优化算法的多载波NOMA功率分配策略 [J ] . 电子学报 , 2020 , 48 ( 10 ): 2009 - 2016 .

HAO S W , LI Y J , ZHAO S H , et al . Multicarrier NOMA power allocation strategy based on improved particle swarm optimization algorithm [J ] . Acta Electronica Sinica , 2020 , 48 ( 10 ): 2009 - 2016 .

SHENG M , ZHAI D S , WANG X J , et al . Intelligent energy and traffic coordination for green cellular networks with hybrid energy supply [J ] . IEEE Transactions on Vehicular Technology , 2017 , 66 ( 2 ): 1631 - 1646 .

GU Y N , SAAD W , BENNIS M , et al . Matching theory for future wireless networks:fundamentals and applications [J ] . IEEE Communications Magazine , 2015 , 53 ( 5 ): 52 - 59 .

XU G Z , LIU A , JIANG W , et al . Joint user scheduling and antenna selection in distributed massive MIMO systems with limited backhaul capacity [J ] . China Communications , 2014 , 11 ( 5 ): 17 - 30 .

SAITO Y , KISHIYAMA Y , BENJEBBOUR A , et al . Non- orthogonal multiple access (NOMA) for cellular future radio access [C ] // Proceedings of 2013 IEEE 77th Vehicular Technology Conference . Piscataway:IEEE Press , 2013 : 1 - 5 .

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