Traffic Analysis of a mobile cellular system based on a scale-free user network and a power-law-distributed mobility model

Wai M. Tam; Chung Ming Lau; Chi Kong Tse

doi:10.1109/APCCAS.2008.4746221

Traffic Analysis of a mobile cellular system based on a scale-free user network and a power-law-distributed mobility model

Wai M. Tam, Chung Ming Lau, Chi Kong Tse

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

In the traditional study of mobile cellular systems, all users are assumed to have the same behavior. They have the same probability of making/receiving a call and they will move around the network with identical mobility. In a practical environment, each user has a different list of acquaintances including relatives, friends and colleagues, with whom the user will make contact. Also, the size of the list varies with individual users. In addition, depending on various factors such as job nature, different users will acquire different levels of mobility. To evaluate the performance of a mobile cellular system more realistically in this paper, we use the power-law-distributed mobility model under an assumption of a scale-free user network.

Original language	English
Title of host publication	Proceedings of APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems
Pages	1120-1123
Number of pages	4
DOIs	https://doi.org/10.1109/APCCAS.2008.4746221
Publication status	Published - 1 Dec 2008
Event	APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems - Macao, China Duration: 30 Nov 2008 → 3 Dec 2008

Conference

Conference	APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems
Country/Territory	China
City	Macao
Period	30/11/08 → 3/12/08

ASJC Scopus subject areas

Electrical and Electronic Engineering

More information

10.1109/APCCAS.2008.4746221

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title = "Traffic Analysis of a mobile cellular system based on a scale-free user network and a power-law-distributed mobility model",

abstract = "In the traditional study of mobile cellular systems, all users are assumed to have the same behavior. They have the same probability of making/receiving a call and they will move around the network with identical mobility. In a practical environment, each user has a different list of acquaintances including relatives, friends and colleagues, with whom the user will make contact. Also, the size of the list varies with individual users. In addition, depending on various factors such as job nature, different users will acquire different levels of mobility. To evaluate the performance of a mobile cellular system more realistically in this paper, we use the power-law-distributed mobility model under an assumption of a scale-free user network.",

author = "Tam, {Wai M.} and Lau, {Chung Ming} and Tse, {Chi Kong}",

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doi = "10.1109/APCCAS.2008.4746221",

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pages = "1120--1123",

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Tam, WM, Lau, CM & Tse, CK 2008, Traffic Analysis of a mobile cellular system based on a scale-free user network and a power-law-distributed mobility model. in Proceedings of APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems., 4746221, pp. 1120-1123, APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems, Macao, China, 30/11/08. https://doi.org/10.1109/APCCAS.2008.4746221

Traffic Analysis of a mobile cellular system based on a scale-free user network and a power-law-distributed mobility model. / Tam, Wai M.; Lau, Chung Ming; Tse, Chi Kong.
Proceedings of APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems. 2008. p. 1120-1123 4746221.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - In the traditional study of mobile cellular systems, all users are assumed to have the same behavior. They have the same probability of making/receiving a call and they will move around the network with identical mobility. In a practical environment, each user has a different list of acquaintances including relatives, friends and colleagues, with whom the user will make contact. Also, the size of the list varies with individual users. In addition, depending on various factors such as job nature, different users will acquire different levels of mobility. To evaluate the performance of a mobile cellular system more realistically in this paper, we use the power-law-distributed mobility model under an assumption of a scale-free user network.

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Traffic Analysis of a mobile cellular system based on a scale-free user network and a power-law-distributed mobility model

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