DocumentCode
259859
Title
Handover performance in LTE-A HetNets through inter-site distance differentiation
Author
Kollias, Georgios ; Adelantado, Ferran ; Vardakas, John ; Ramantas, Kostas
Author_Institution
Iquadrat Inf., Barcelona, Spain
fYear
2014
fDate
1-3 Dec. 2014
Firstpage
280
Lastpage
284
Abstract
Mobility Management in future cellular networks is becoming more challenging due to transition from macro only to multi-tier deployments. In this framework, the massive use of small cells rendered traditional Handover algorithms inappropriate to deal effectively with frequent Handovers, especially for fast users, in dense urban scenarios. Studies in this area focus mainly on the adjustment of the Hysteresis Margin and on the Time-to-Trigger (TTT) selection in line with the Self-Organized Networks (SON), concept. In that sense, the ability of each node to adapt its parameters to the actual scenario is considered vital for the smooth operation of the network. This work contributes to the latter by analyzing the dependence of the Handover performance on the inter-site distance between the macro cell and the small cell. Specifically, the most common KPIs (i.e. Handover, Ping Pong and Radio Link Failure probabilities) are analyzed for different inter-site distances and TTT values to provide solid basis for the TTT selection.
Keywords
Long Term Evolution; mobility management (mobile radio); LTE-A HetNets; TTT selection; dense urban scenario; handover algorithms; handover performance; hysteresis margin; intersite distance differentiation; self-organized networks; time-to-trigger selection; Handover; Hysteresis; Interference; Measurement; Radiation detectors; Signal to noise ratio; Handover; Inter-site Distance; Mobility Management; Time-to-Trigger (TTT);
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2014 IEEE 19th International Workshop on
Conference_Location
Athens
Type
conf
DOI
10.1109/CAMAD.2014.7033250
Filename
7033250
Link To Document