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A Compact Random Walk Model for Exact Mobility Analysis of PCS Networks

Chien-Hsing WU

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Summary :

The rapid growth of state space in a two-dimensional (2D) random walk model imposes heavy computational load on mobility analysis of personal communication services (PCS) networks. This letter presents a novel random walk model with a compact state space by exploiting the symmetry of cellular patterns in a K-layer cluster of cells. The size of the state space is reduced to (K+1)/2(K/2+1)+1, with an asymptotic compression ratio of 12.

Publication
IEICE TRANSACTIONS on Communications Vol.E85-B No.6 pp.1209-1212
Publication Date
2002/06/01
Publicized
Online ISSN
DOI
Type of Manuscript
LETTER
Category
Terrestrial Radio Communications

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