NDLI: A model to evaluate vertical handovers on JRRM

Content Provider	IEEE Xplore Digital Library
Author	Serrador, A. Correia, L.M.
Copyright Year	2010
Description	Author affiliation: Instituto Superior Técnico /Instituto Telecomunicações, Technical University of Lisbon, Portugal (Correia, L.M.) \|\| Instituto Superior de Engenharia de Lisboa, Polytechnic Institute of Lisbon, Portugal (Serrador, A.)
Abstract	In a heterogeneous cellular networks environment, users behaviour and network deployment configuration parameters have an impact on the overall Quality of Service. This paper proposes a new and simple model that, on the one hand, explores the users behaviour impact on the network by having mobility, multi-service usage and traffic generation profiles as inputs, and on the other, enables the network setup configuration evaluation impact on the Joint Radio Resource Management (JRRM), assessing some basic JRRM performance indicators, like Vertical Handover (VHO) probabilities, average bit rates, and number of active users, among others. VHO plays an important role in fulfilling seamless users sessions transfer when mobile terminals cross different Radio Access Technologies (RATs) boundaries. Results show that high bit rate RATs suffer and generate more influence from/on other RATs, by producing additional signalling traffic to a JRRM entity. Results also show that the VHOs probability can range from 5 up to 65 %, depending on RATs cluster radius and users mobility profile.
Starting Page	2151
Ending Page	2155
File Size	262531
Page Count	5
File Format	PDF
ISBN	9781424480173
e-ISBN	9781424480166
DOI	10.1109/PIMRC.2010.5671665
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-26
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Rats Bit rate Analytical models Algorithm design and analysis Gold Quality of service Computational modeling Vertical Handover Heterogeneous Networks JRRM Analytical Model Resource Management
Content Type	Text
Resource Type	Article

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