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

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

通信学报 ›› 2019, Vol. 40 ›› Issue (12): 86-97.doi: 10.11959/j.issn.1000-436x.2019205

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

哈尔滨工业大学通信技术研究所，黑龙江哈尔滨150080

修回日期:2019-08-26 出版日期:2019-12-25 发布日期:2020-01-16
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
基金资助:
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)

Joint energy efficiency and spectral efficiency optimization algorithm for UDN under the restriction of interference threshold and backhaul capacity

Xuanli WU,Xu CHEN

Communication Research Center,Harbin Institute of Technology,Harbin 150080,China

Revised:2019-08-26 Online:2019-12-25 Published:2020-01-16
Supported by:
The National Natural Science Foundation of China(61671179);The National Basic Research Program of China(2013CB329003)

摘要/Abstract

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。

关键词: 超密集网络, 能量效率, 频谱效率, 整数线性规划, 拉格朗日对偶分解

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.

Key words: ultra-dense network, energy efficiency, spectrum efficiency, integer linear programming, Lagrangian dual decomposition

中图分类号:

TN929.5

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.

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参数名称	参数数值
PRB个数	25
PRB频谱带宽/kHz	180
保护频带带宽/kHz	20
微基站最大发射功率/dBm	10
线路损耗功率/dBm	0
微基站覆盖范围/m	30
微基站回程容量限制/ (Mbit·s^-1)	3.6
用户速率需求/(Mbit·s^–1)	1.44/1.8/2.16

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

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