A Compact Random Walk Model for Exact Mobility Analysis of PCS Networks
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概要
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The rapid growth of state space in a twodimensional (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.
- 社団法人電子情報通信学会の論文
- 2002-06-01