NDLI: Joint mobility tracking and handoff in cellular networks via sequential Monte Carlo filtering

Content Provider	IEEE Xplore Digital Library
Author	Zigang Yang Xiaodong Wang
Copyright Year	1991
Abstract	We consider the application of sequential Monte Carlo (SMC) methodology to the problem of joint mobility tracking and handoff detection in cellular wireless communication networks. Both mobility tracking and handoff detection are based on the measurements of pilot signal strengths from certain base stations. The dynamics of the system under consideration are described by a nonlinear state-space model. Mobility tracking involves an online estimation of the location and velocity of the mobile, whereas handoff detection involves an online prediction of the pilot signal strength at some future time instants. The optimal solutions to both problems are prohibitively complex due to the nonlinear nature of the system. The SMC methods are therefore employed to track the probabilistic dynamics of the system and to make the corresponding estimates and predictions. Both hard handoff and soft handoff are considered and three novel locally optimal (LO) handoff schemes are developed based on different criteria. It is seen that under the SMC framework, optimal mobility tracking and handoff detection can be implemented naturally in a joint fashion, and significant improvement is achieved over existing methods, in terms of both the tracking accuracy and the trade-off between service quality and resource utilization during handoff.
Sponsorship	IEEE Signal Processing Society
Starting Page	269
Ending Page	281
Page Count	13
File Size	816749
File Format	PDF
ISSN	1053587X
Volume Number	51
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent networks Land mobile radio cellular systems Monte Carlo methods Base stations Nonlinear dynamical systems Sliding mode control Signal processing algorithms Filtering Mobile radio mobility management Cellular networks
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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