干扰门限与回程容量限制下UDN的能效与谱效联合优化算法

吴宣利; 陈旭

doi:10.11959/j.issn.1000-436x.2019205

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干扰门限与回程容量限制下UDN的能效与谱效联合优化算法

学术论文 | 更新时间：2024-06-05

- 干扰门限与回程容量限制下UDN的能效与谱效联合优化算法
- Joint energy efficiency and spectral efficiency optimization algorithm for UDN under the restriction of interference threshold and backhaul capacity
- 通信学报 2019年40卷第12期页码：86-97
- 作者机构：
  
  哈尔滨工业大学通信技术研究所，黑龙江哈尔滨150080
- 作者简介：
  
  [ "吴宣利（1980- ），男，黑龙江哈尔滨人，博士，哈尔滨工业大学副教授，主要研究方向为协作通信、超密集网络、5G 物理层安全、非正交多址技术等" ]
  [ "陈旭（1997- ），男，重庆人，哈尔滨工业大学硕士生，主要研究方向为超密集网络中的理论分析以及资源分配算法" ]
- 基金信息：
  
  国家自然科学基金资助项目(61671179);国家重点基础研究发展计划（“973”计划）基金资助项目(2013CB329003)
- DOI：10.11959/j.issn.1000-436x.2019205
  中图分类号： TN929.5
- 网络首发：2019-12，
  
  纸质出版：2019-12-25
- 稿件说明：
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吴宣利, 陈旭. 干扰门限与回程容量限制下UDN的能效与谱效联合优化算法[J]. 通信学报, 2019,40(12):86-97.

Xuanli WU, Xu CHEN. Joint energy efficiency and spectral efficiency optimization algorithm for UDN under the restriction of interference threshold and backhaul capacity[J]. Journal on Communications, 2019, 40(12): 86-97.
吴宣利, 陈旭. 干扰门限与回程容量限制下UDN的能效与谱效联合优化算法[J]. 通信学报, 2019,40(12):86-97. DOI： 10.11959/j.issn.1000-436x.2019205.

Xuanli WU, Xu CHEN. Joint energy efficiency and spectral efficiency optimization algorithm for UDN under the restriction of interference threshold and backhaul capacity[J]. Journal on Communications, 2019, 40(12): 86-97. DOI： 10.11959/j.issn.1000-436x.2019205.

摘要

针对回程干扰门限与链路容量限制下的超密集网络（UDN）场景，提出了一种基于整数线性规划和拉格朗日对偶分解的能量效率与频谱效率联合优化算法。所提算法首先将回程容量限制下的用户归属问题建模为整数线性规划（ILP）问题，基于动态规划的思想设计算法求解该问题，从而完成用户与微基站的连接；在此基础上，利用拉格朗日对偶分解，通过基于迭代的资源分配算法实现频谱资源和功率的分配。仿真结果表明，相较于传统算法，所提算法能显著提升系统的能量效率和频谱效率，同时可以更充分地利用微基站的业务承载能力。

Abstract

Aiming at the scenarios which consider the constraint of backhaul capacity restriction and interference threshold in ultra-dense networks (UDN)

an integer linear programming (ILP) and Lagrangian dual decomposition (LDD) based joint optimization algorithm of energy efficiency and spectrum efficiency was proposed.In the proposed algorithms

the user association problem with the constraint of limited backhaul capacity was modelled as an ILP problem and then finished the connection between the user and the base station of microcell by solving this problem with dynamic programming method.Therefor

Lagrangian dual decomposition (LDD) was applied in an iteration algorithm for spectrum resource allocation and power allocation.The simulation results show that compared with traditional schemes

the proposed algorithm can significantly improve the energy efficiency and spectrum efficiency of system and use the microcell’s load capacity more efficiently.

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references

杨立 , 黄河 , 袁戈非 , 等 . 5G UDN（超密集网络）技术详解 [M ] . 北京 : 人民邮电出版社 , 2018 .

YANG L , HUANG H , YUAN G F , et al . Ultra dense networks of 5th generation mobile communications [M ] . Beijing : Post Telecom PressPress , 2018 .

LIN Y , ZHANG R , YANG L , et al . Secure user-centric clustering for energy efficient ultra-dense networks:design and optimization [J ] . IEEE Journal on Selected Areas in Communications , 2018 , 36 ( 7 ): 1609 - 1621 .

李建东 , 盛敏 , 刘俊宇 , 等 . 5G 超密集无线网络自组织技术 [J ] . 物联网学报 , 2018 , 2 ( 1 ): 24 - 34 .

LI J D , SHENG M , LIU J Y , et al . Self-organization networking technology for 5G ultra-dense wireless network [J ] . Chinese Journal on Internet of Things , 2018 , 2 ( 1 ): 24 - 34 .

SU L , YANG C,CHIH-LIN I . Energy and spectral efficient frequency reuse of ultra dense networks [J ] . IEEE Transactions on Wireless Communications , 2016 , 15 ( 8 ):1.

JABER M , IMRAN M A , TAFAZOLLI R , et al . 5G backhaul challenges and emerging research directions:a survey [J ] . IEEE Access , 2017 , 4 : 1743 - 1766 .

KAMEL M , HAMOUDA W . Ultra-dense networks:a survey [J ] . IEEE Communication Surveys＆Tutorials , 2017 , 18 ( 4 ): 2522 - 2545 .

LIU J , SHENG M , LIU L , et al . Interference management in ultra-dense networks:challenges and approaches [J ] . IEEE Network , 2017 , 31 ( 6 ): 70 - 77 .

LI W , WANG J , SHAO Q , et al . Efficient resource allocation algorithms for energy efficiency maximization in ultra-dense network [C ] // 2017 IEEE Global Communication Conference.(GLOBECOM) . IEEE , 2017 : 1 - 6 .

HAN Q , YANG B , MIAO G , et al . Backhaul-aware user association and resource allocation for energy-constrained HetNets [J ] . IEEE Transactions on Vehicular Technology , 2015 , 66 ( 1 ): 580 - 593 .

LI Q , YANG Q , QIN M , et al . Energy efficient user association and resource allocation in active array aided HetNets [J ] . IET Communications , 2018 , 12 ( 6 ): 672 - 679 .

ZHANG H , HUANG S , JIANG C , et al . Energy efficient user association and power allocation in millimeter wave-based ultra dense networks with energy harvesting base stations [J ] . IEEE Journal on Selected Areas in Communications , 2017 , 35 ( 9 ): 1936 - 1947 .

刘诚毅 , 陈赓 , 邢松 , 等 . 基于中继节点辅助的Femtocell混合接入控制算法 [J ] . 通信学报 , 2017 , 38 ( 1 ): 54 - 65 .

LIU C Y , CHEN G , XING S , et al . Hybrid access control algorithm based on relay node assistant in Femtocell network [J ] . Journal on Communications , 2017 , 38 ( 1 ): 54 - 65 .

ZHANG H , JIANG C , MAO X , et al . Interference-limited resource optimization in cognitive femtocells with fairness and imperfect spectrum sensing [J ] . IEEE Transaction on Vehicular Technology , 2016 , 65 ( 3 ): 1761 - 1771 .

SU L , YANG C ， CHIH-LIN I . On energy efficiency and spectral efficiency joint optimization of ultra dense networks [C ] // 2015 IEEE Global Communication Conference . IEEE , 2015 : 1 - 6 .

PERVAIZ H , MUSAVIAN L , NI Q . Energy and spectrum efficiency trade-off for green small cell networks [C ] // 2015 IEEE International Conference on Communication . IEEE , 2015 : 5410 - 5415 .

ADEDOYIN M , FALOWO O . Joint optimization of energy efficiency and spectrum efficiency in 5G ultra-dense networks [C ] // European Conference on Networks ＆ Communications . 2017 : 1 - 6 .

GAO H , WANG M , LV T . Energy efficiency and spectrum efficiency tradeoff in the D2D-enabled HetNet [J ] . IEEE Transaction on Vehicular Technology , 2017 , 66 ( 11 ): 10583 - 10587 .

NGUYEN V M , KOUNTOURIS M . Performance limits of network densification [J ] . IEEE Journal on Selected Areas in Communications , 2017 , 35 ( 6 ): 1294 - 1308 .

张建敏 , 谢伟良 , 杨峰义 . 5G超密集组网网络架构及实现 [J ] . 电信科学 , 2016 , 32 ( 6 ): 36 - 43 .

ZHANG J M , XIE W L , YANG F Y . Architecture and solutions of 5G ultra dense network [J ] . Telecommunications Science , 2016 , 32 ( 6 ): 36 - 43 .

Qualcomm.1000x:more small cells hyper-dense small cell deployments [R ] .(2014-06)[2019-05-14 ] .

HSU C , CHANG J M , CHOU Z , et al . Optimizing spectrum-energy efficiency in downlink cellular networks [J ] . IEEE Transaction on Mobile Computing , 2014 , 13 ( 9 ): 2100 - 2112 .

PENG M , ZHANG K , JIANG J , et al . Energy-efficient resource assignment and power allocation in heterogeneous cloud radio access networks [J ] . IEEE Transactions on Vehicular Technology , 2014 , 64 ( 11 ): 5275 - 5287 .

3GPP TR 38.900.Technical specification group radio access network;channel model for frequency spectrum above 6 GHz (Release 14),V14.2.0 [R ] .(2016-12)[2019-05-14 ] .

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