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Titolo:
An improved cell type classification for random walk modeling in cellular networks
Autore:
Tseng, YC; Hung, WN;
Indirizzi:
Natl Chiao Tung Univ, Dept Comp Sci & Informat Engn, Hsinchu 30050, TaiwanNatl Chiao Tung Univ Hsinchu Taiwan 30050 at Engn, Hsinchu 30050, Taiwan Natl Cent Univ, Dept Comp Sci & Informat Engn, Chungli 32054, Taiwan Natl Cent Univ Chungli Taiwan 32054 Informat Engn, Chungli 32054, Taiwan
Titolo Testata:
IEEE COMMUNICATIONS LETTERS
fascicolo: 8, volume: 5, anno: 2001,
pagine: 337 - 339
SICI:
1089-7798(200108)5:8<337:AICTCF>2.0.ZU;2-#
Fonte:
ISI
Lingua:
ENG
Soggetto:
PCS NETWORKS;
Keywords:
cellular network; location management; personal communication services (PCS); random walk; wireless communication;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
4
Recensione:
Indirizzi per estratti:
Indirizzo: Tseng, YC Natl Chiao Tung Univ, Dept Comp Sci & Informat Engn, Hsinchu 30050, Taiwan Natl Chiao Tung Univ Hsinchu Taiwan 30050 sinchu 30050, Taiwan
Citazione:
Y.C. Tseng e W.N. Hung, "An improved cell type classification for random walk modeling in cellular networks", IEEE COMM L, 5(8), 2001, pp. 337-339

Abstract

In an earlier paper by Akyildiz et al, it is shown how to classify cell types in a cellular network based on the random walk model; the number of states is reduced from a naive classification of (3n(2) + 3n - 5) to n(n + 1)/2 in a hexagonal configuration, where n is the number of layers of cells. By using a reflection relation, this paper shows that the number of states can be further reduced to (n + 1)(n + 3)/4 if n is odd, and n(n + 4)/4 if n is even. These numbers are about half of that of Akyildiz et al. Simulationexperiments indicate that our approach significantly reduces the computational costs in the related probability derivation.

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Documento generato il 01/04/20 alle ore 11:22:10