Tracking areas planning based on spectral clustering in small cell networks. Issue 13 (1st August 2019)

• Record Type: Journal Article
• Authors: Lin, Qiangqiang; Tu, Shanshan; Waqas, Muhammad; Rehman, Sadaqat ur; Chang, Chin Chen
• Is Part Of: IET communications. Volume 13:Issue 13(2019)
• Page Start: 1921
• Page End: 1927
• Publication Date: 2019-08-01
• Subjects: graph theory -- telecommunication network planning -- telecommunication signalling -- cellular radio -- pattern clustering; user mobility -- TA planning problem -- classical graph partitioning problem -- TA planning method -- spectral clustering -- tracking areas -- location management -- massive signalling overhead -- network signalling overhead -- paging statistics -- user traffic -- small cell networks -- handover statistics; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2019.0306
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : In future small cell networks, tracking areas (TAs) that are defined for location management will be updated frequently to cope with the massive signalling overhead. In this study, a TA planning method based on spectral clustering is proposed to minimise the network signalling overhead. Firstly, handover and paging statistics are simulated to construct a series of graphs showing user mobility and traffic. Then, the TA planning problem is formulated as a classical graph partitioning problem. Finally, a new TA planning method based on spectral clustering is used to build the new TA plan. Simulation results show that the proposed method can effectively reduce the system location update rate and signalling overhead, and improve the system performance.