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哈尔滨工业大学通信技术研究所,黑龙江 哈尔滨 150080
[ "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。" ]
网络出版日期:2019-09,
纸质出版日期:2019-09-25
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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.
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. DOI: 10.11959/j.issn.1000-436x.2019136.
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.
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。
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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