Radio dataset exploration for dissecting the network dysfunctions due to handover
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | Radio dataset exploration for dissecting the network dysfunctions due to handover |
| Type de publication | Conference Paper |
| Year of Publication | 2015 |
| Auteurs | Chariete A., Baala O., Caminada A. |
| Conference Name | 2015 IEEE 17TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS, 2015 IEEE 7TH INTERNATIONAL SYMPOSIUM ON CYBERSPACE SAFETY AND SECURITY, AND 2015 IEEE 12TH INTERNATIONAL CONFERENCE ON EMBEDDED SOFTWARE AND SYSTEMS (ICESS) |
| Publisher | IEEE; IEEE Comp Soc; IEEE Tech Comm on Scalable Comp TCSC; PACE Univ; NECETA; Longxiang High Tech Silicon Valley |
| Conference Location | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| ISBN Number | 978-1-4799-8937-9 |
| Mots-clés | call drops, cellular networks, handover, mobile traffic, performances optimization, statistical methods |
| Résumé | Users mobility is a crucial issue in cellular networks. For example, during the same call, users may go through different cells/networks, triggering handover procedures, which is most likely a source of call drops. In this paper, we take advantage of statistical methods for the processing of the handover data, such as outgoing and incoming handover (OH and IH), in order to highlight correlation between neighbouring cells regarding OH-IH. We considered the assumption that a non-correlated neighbouring cells regarding OH-IH means that a network is likely to fail at the boundary of the cells' coverage areas. The aim of our approach is to detect network dysfunctions (call drops) due to handover at the boundary of the source and destination cell. Results analysis of two different studied regions is presented to show the effectiveness of this approach. |
| DOI | 10.1109/HPCC-CSS-ICESS.2015.202 |