Interference graph based adaptive interference coordination method in indoor UDN

Xuanli WU; Ziyi XIE; Wei WU

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

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Interference graph based adaptive interference coordination method in indoor UDN

Papers | 更新时间：2024-06-05

- Interference graph based adaptive interference coordination method in indoor UDN
- Journal on Communications Vol. 40, Issue 9, Pages: 15-23(2019)
- 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：
- 基金信息：
  
  The National Natural Science Foundation of China(61501136);The National Basic Research Program of China (973 Program)(2013CB329003)
- DOI：10.11959/j.issn.1000-436x.2019136
  CLC： TN929.5
- Online First：2019-09，
  
  Published：25 September 2019
- 稿件说明：
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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.
DOI：

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

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。

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.

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references

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