Search results for "Received signal code power"

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Statistical learning and multiple linear regression model for network selection using MIH

2014

Award of Appreciation; International audience; A key requirement to provide seamless mobility and guaranteeing Quality of Service in heterogeneous environment is to select the best destination network during handover. In this paper, we propose a new schema for network selection based on Multiple Linear Regression Model (MLRM). A horough investigation, on a huge live data collected from GPRS/UMTS networks led to identify the Key Performance Indicators (KPIs) that play the most important role in the handover process. These KPIs are: Received Signal Code Power (RSCP), received energy per chip (Ec/No) and Available Bandwidth (ABW) of the destination network. To extract a handover model from col…

IEEE 802.21multiple linear regressionseamless handover[INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI]Computer sciencebusiness.industry[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]Quality of serviceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS020206 networking & telecommunications02 engineering and technologyPredictive analyticsMedia-independent handoverstatistical learning[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]IEEE 802.21Handover020204 information systems0202 electrical engineering electronic engineering information engineeringReceived signal code powerPerformance indicatorGeneral Packet Radio ServicebusinessComputer networkThe Third International Conference on e-Technologies and Networks for Development (ICeND2014)
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