Research on Intelligent 5G Remote Interference Avoidance and Clustering Scheme
- Resource Type
- Conference
- Authors
- Xiao, Tian; Li, Bei; Di, Zixiang; Liu, Guanghai; Xu, Lexi; Guan, Jian; Wang, Zhaoning; Cheng, Chen; Li, Yi
- Source
- 2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) TRUSTCOM Trust, Security and Privacy in Computing and Communications (TrustCom), 2022 IEEE International Conference on. :1491-1497 Dec, 2022
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Privacy
5G mobile communication
Clustering algorithms
Interference
Security
Reliability
Time-domain analysis
Remote Interference
RIAC
RIM-RS
DBSCAN
- Language
- ISSN
- 2324-9013
This paper investigates on the remote interference problem in the TDD network and proposes an intelligent 5G Remote Interference Avoidance and Clustering Scheme (RIAC), on the basis of RIM-RS (remote interference management-reference signal) and clustering algorithm. This paper adopts the GBLA-DBSACN (the grid-based local adaptive DBSCAN) algorithm based on the traditional DBSCAN algorithm (Density—Based Spatial Clustering of Application with Noise) to improve the accuracy of interference base station (BS) clustering, which considers the dispersion of interference sources. This scheme helps to locate interference problems and potential sources through testing in the existing network quickly and effectively. By taking corresponding optimization means for these problems, network operators can effectively reduce the interference level in the target area and improve the quality of network construction.