Handoff probability in PCS networks

Yuguang Fang; Imrich Chlamtac

doi:10.1109/ICUPC.1998.733068

Handoff probability in PCS networks

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

This paper presents analytical results for handoff probability for PCS networks under realistic mobility assumptions that the call holding time and the cell residence time are all generally distributed. Easily computable formulae are obtained for the case when the Laplace transforms of density functions of the call holding time and cell residence time are rational functions.

Original language	English
Title of host publication	ICUPC 1998 - IEEE 1998 International Conference on Universal Personal Communications, Conference Proceedings
Publisher	IEEE
Pages	765-768
Volume	1
ISBN (Print)	0780351061, 9780780351066
DOIs	https://doi.org/10.1109/ICUPC.1998.733068
Publication status	Published - 1998
Externally published	Yes
Event	IEEE International Conference on Universal Personal Communications, ICUPC 1998 - Florence, Italy Duration: 5 Oct 1998 → 9 Oct 1998

Publication series

Name	ICUPC 1998 - IEEE 1998 International Conference on Universal Personal Communications, Conference Proceedings
Volume	1

Conference

Conference	IEEE International Conference on Universal Personal Communications, ICUPC 1998
Place	Italy
City	Florence
Period	5/10/98 → 9/10/98

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

Computer science
Density functional theory
Exponential distribution
Intelligent networks
Personal communication networks
Queueing analysis
Random variables
Shape
System analysis and design
Traffic control

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10.1109/ICUPC.1998.733068

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Fang, Y., & Chlamtac, I. (1998). Handoff probability in PCS networks. In ICUPC 1998 - IEEE 1998 International Conference on Universal Personal Communications, Conference Proceedings (Vol. 1, pp. 765-768). Article 733068 (ICUPC 1998 - IEEE 1998 International Conference on Universal Personal Communications, Conference Proceedings; Vol. 1). IEEE. https://doi.org/10.1109/ICUPC.1998.733068

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title = "Handoff probability in PCS networks",

abstract = "This paper presents analytical results for handoff probability for PCS networks under realistic mobility assumptions that the call holding time and the cell residence time are all generally distributed. Easily computable formulae are obtained for the case when the Laplace transforms of density functions of the call holding time and cell residence time are rational functions.",

keywords = "Computer science, Density functional theory, Exponential distribution, Intelligent networks, Personal communication networks, Queueing analysis, Random variables, Shape, System analysis and design, Traffic control",

author = "Yuguang Fang and Imrich Chlamtac",

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doi = "10.1109/ICUPC.1998.733068",

language = "English",

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volume = "1",

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Fang, Y & Chlamtac, I 1998, Handoff probability in PCS networks. in ICUPC 1998 - IEEE 1998 International Conference on Universal Personal Communications, Conference Proceedings. vol. 1, 733068, ICUPC 1998 - IEEE 1998 International Conference on Universal Personal Communications, Conference Proceedings, vol. 1, IEEE, pp. 765-768, IEEE International Conference on Universal Personal Communications, ICUPC 1998, Florence, Italy, 5/10/98. https://doi.org/10.1109/ICUPC.1998.733068

Handoff probability in PCS networks. / Fang, Yuguang; Chlamtac, Imrich.
ICUPC 1998 - IEEE 1998 International Conference on Universal Personal Communications, Conference Proceedings. Vol. 1 IEEE, 1998. p. 765-768 733068 (ICUPC 1998 - IEEE 1998 International Conference on Universal Personal Communications, Conference Proceedings; Vol. 1).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Handoff probability in PCS networks

AU - Fang, Yuguang

AU - Chlamtac, Imrich

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 1998

Y1 - 1998

N2 - This paper presents analytical results for handoff probability for PCS networks under realistic mobility assumptions that the call holding time and the cell residence time are all generally distributed. Easily computable formulae are obtained for the case when the Laplace transforms of density functions of the call holding time and cell residence time are rational functions.

AB - This paper presents analytical results for handoff probability for PCS networks under realistic mobility assumptions that the call holding time and the cell residence time are all generally distributed. Easily computable formulae are obtained for the case when the Laplace transforms of density functions of the call holding time and cell residence time are rational functions.

KW - Computer science

KW - Density functional theory

KW - Exponential distribution

KW - Intelligent networks

KW - Personal communication networks

KW - Queueing analysis

KW - Random variables

KW - Shape

KW - System analysis and design

KW - Traffic control

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DO - 10.1109/ICUPC.1998.733068

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 0780351061

SN - 9780780351066

VL - 1

T3 - ICUPC 1998 - IEEE 1998 International Conference on Universal Personal Communications, Conference Proceedings

SP - 765

EP - 768

BT - ICUPC 1998 - IEEE 1998 International Conference on Universal Personal Communications, Conference Proceedings

PB - IEEE

T2 - IEEE International Conference on Universal Personal Communications, ICUPC 1998

Y2 - 5 October 1998 through 9 October 1998

ER -

Handoff probability in PCS networks

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