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
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Chien-Hsing WU, "A Compact Random Walk Model for Exact Mobility Analysis of PCS Networks" in IEICE TRANSACTIONS on Communications,
vol. E85-B, no. 6, pp. 1209-1212, June 2002, doi: .
Abstract: 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
URL: https://global.ieice.org/en_transactions/communications/10.1587/e85-b_6_1209/_p
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@ARTICLE{e85-b_6_1209,
author={Chien-Hsing WU, },
journal={IEICE TRANSACTIONS on Communications},
title={A Compact Random Walk Model for Exact Mobility Analysis of PCS Networks},
year={2002},
volume={E85-B},
number={6},
pages={1209-1212},
abstract={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
keywords={},
doi={},
ISSN={},
month={June},}
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TY - JOUR
TI - A Compact Random Walk Model for Exact Mobility Analysis of PCS Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1209
EP - 1212
AU - Chien-Hsing WU
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E85-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2002
AB - 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
ER -