室内超密集网络中基于干扰图的自适应干扰协调方法

doi:10.11959/j.issn.1000-436x.2019136

通信学报 ›› 2019, Vol. 40 ›› Issue (9): 15-23.doi: 10.11959/j.issn.1000-436x.2019136

室内超密集网络中基于干扰图的自适应干扰协调方法

吴宣利,谢子怡,吴玮

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:2019-04-22 出版日期:2019-09-25 发布日期:2019-09-28
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。|谢子怡（1996- ），女，湖南长沙人，哈尔滨工业大学博士生，主要研究方向为超密集网络中的干扰管理。|吴玮（1981- ），男，黑龙江哈尔滨人，博士，哈尔滨工业大学讲师，主要研究方向为无线资源管理、无线自组网、车联网等。
基金资助:
国家自然科学基金资助项目(61501136);国家重点基础研究发展计划（“973”计划）基金资助项目(2013CB329003)

Interference graph based adaptive interference coordination method in indoor UDN

Xuanli WU,Ziyi XIE,Wei WU

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

Revised:2019-04-22 Online:2019-09-25 Published:2019-09-28
Supported by:
The National Natural Science Foundation of China(61501136);The National Basic Research Program of China (973 Program)(2013CB329003)

摘要/Abstract

摘要：

针对超密集网络的室内场景，提出了一种基于干扰图的自适应干扰协调方法。该方法以最大化系统吞吐量为目标，首先将系统中的干扰关系建模为干扰图，并利用迭代着色算法确定各小小区基站的可用资源；然后，由小小区基站采用优化吞吐量的资源分配算法将资源分配给各用户。所提方法能够根据网络拓扑结构及信道条件自适应地选择资源分配策略，从而降低系统内干扰。仿真结果表明，相比于现有方法，所提方法通过较小的额外信令开销，在明显提升吞吐量性能的同时有效地降低了系统中断概率。

关键词: 室内超密集网络, 干扰图, 干扰协调, 迭代着色算法

Abstract:

An interference graph based adaptive interference coordination method was proposed for indoor scenario of ultra dense network (UDN).The algorithm aimed at maximizing system throughput.Firstly,the interference relationship in the system was modeled as an interference graph,and the iterative coloring algorithm was used to determine the available resources of each small cell base station (SBS).Thereafter,the SBS allocated resources to each user by using a throughput optimizing resource allocation algorithm.The method could adaptively select a resource allocation strategy according to the network topology and channel conditions,thereby mitigating interference in the system.The simulation results show that compared with the existing methods,the proposed method effectively reduces the system outage probability while significantly improving the throughput performance through a small additional signaling overhead.

Key words: indoor ultra dense network, interference graph, interference coordination, iterative coloring algorithm

中图分类号:

TN929.5

吴宣利,谢子怡,吴玮. 室内超密集网络中基于干扰图的自适应干扰协调方法[J]. 通信学报, 2019, 40(9): 15-23.

Xuanli WU,Ziyi XIE,Wei WU. Interference graph based adaptive interference coordination method in indoor UDN[J]. Journal on Communications, 2019, 40(9): 15-23.

图/表 6

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系统参数名称	参数值
载波频率/GHz	3.5
用户移动速度/（m·s^-1）	0
系统总带宽/MHz	5
PRB带宽/kHz	180
系统可用PRB总数/个	20
小小区最大发射功率/dBm	15
下行资源分配可用PRB数目/个	20
每排房间数目/间	8
模型层数/层	1
天线增益/dB	14
阴影衰落标准差/dB	10
热噪声功率谱密度/（dBm·Hz^-1）	-174

室内超密集网络中基于干扰图的自适应干扰协调方法

Interference graph based adaptive interference coordination method in indoor UDN

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[3]	姜来为,吴宣利,张乃通. 异构网络中小区间联合干扰协调算法研究[J]. 通信学报, 2016, 37(2): 144-151.