Affiliations: Budapest University of Technology and Economics,
Department of Telecommunication, 2, Magyar tudósok körútja, Budapest
1117, Hungary. E-mail: {fulopp,imre,szabos}@hit.bme.hu; szalkat@mul.hu
Abstract: The efficient dimensioning of cellular wireless access networks
depends highly on the accuracy of the underlying mathematical models of user
distribution and traffic estimations. Mobility prediction also considered as an
effective method contributing to the accuracy of IP multicast based multimedia
transmissions, and ad hoc routing algorithms. In this paper we focus on the
tradeoff between the accuracy and the complexity of the mathematical models
used to describe user movements in the network. We propose mobility model
extension, in order to utilize user's movement history thus providing more
accurate results than other widely used models in the literature. The new
models are applicable in real-life scenarios, because these rely on additional
information effectively available in cellular networks (e.g. handover
history), too. The complexity of the proposed models is analyzed, and the
accuracy is justified by means of simulation.
Keywords: Location prediction, mobility model, Markovian approach, random walk, complexity, accuracy, handover, user movements
