A unifying framework for seamless handover across mobile telecom network

Maheswaran Chella Perumal, C. Helen Sulochana and Tharun Moorthy

International Journal of Enterprise Network Management, 2015, vol. 6, issue 3, 238-250

Abstract: Investigating human being movement behaviour is significant for learning issues such as traffic prediction and spread of contagious diseases. Since mobile telecom network MTN can efficiently monitor the mobile user's movement, the telecom's mobility management is an ideal mechanism for studying human movement issues. The issues with MTN can be quoted as follows: What is the probability that a person at a place X will move to place Y in time, T hours. The result cannot be directly calculated with commercial network since they do not exactly trace the history of every mobile user movement like handover rate, call traffic, call duration and arrival rate. The call rate period is generally considered as not more than 10 min. So here we are limiting time period to 5 min. At the end of each 5 min this application captures the spatial and temporal details of the mobile user in a mobile network. The geographical features of a specific area can be analysed by gathering the details about mobile user in a mobile network, which results in the analysis of the traffic details of the particular region.

Keywords: mobile networks; mobile communications; mobility management; residual time; handover rate; call arrival rate; call traffic; call holding time; residence time; seamless handover; human movement issues; mobile users; telecommunications. (search for similar items in EconPapers)
Date: 2015
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