標題: An improved cell type classification for random walk modeling in cellular networks
作者: Tseng, YC
Hung, WN
資訊工程學系
Department of Computer Science
關鍵字: cellular network;location management;personal communication services (PCS);random walk;wireless communication
公開日期: 1-Aug-2001
摘要: 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. Simulation experiments indicate that our approach significantly reduces the computational costs in the related probability derivation.
URI: http://dx.doi.org/10.1109/4234.940984
http://hdl.handle.net/11536/29461
ISSN: 1089-7798
DOI: 10.1109/4234.940984
期刊: IEEE COMMUNICATIONS LETTERS
Volume: 5
Issue: 8
起始頁: 337
結束頁: 339
Appears in Collections:Articles


Files in This Item:

  1. 000170595600005.pdf

If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.