Presentation 2002/6/14
Evaluation of Handover Blocking Probabilities for Cellular Mobile Communications Networks
Kanji Yoneyama, Tatsuya Matsukawa, Hiroaki Ishii,
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Abstract(in English) This paper proposes and analyzes a queueing network model of a cellular mobile communications network including multi-way connection, which has been considered in past researchers. This model is formulated as a queueing network with multiple call classes and state-dependent transition rates. As the performance measure a handover blocking probability is evaluated based on the product form equilibrium distribution and the constraint matrix whose elements consist of the arrival and service rates for individual cells. As a numerical example, an 8-cell cellular system is considered and blocking probabilities for a 2-way handover between adjacent cells are calculated for several network loads and constraint matrices. Since results present the characteristics depending on an individual cell or a service area, it can be emphasized that this model is useful for the control of QoS taking account of the spatial traffic.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Blocking probability / Multi-way connection / Multiple call classes / constraint matrix
Paper # IN2002-22
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Committee IN
Conference Date 2002/6/14(1days)
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Registration To Information Networks (IN)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Evaluation of Handover Blocking Probabilities for Cellular Mobile Communications Networks
Sub Title (in English)
Keyword(1) Blocking probability
Keyword(2) Multi-way connection
Keyword(3) Multiple call classes
Keyword(4) constraint matrix
1st Author's Name Kanji Yoneyama
1st Author's Affiliation School of Humanities for Environmental Policy and Technology, Himeji Institute of Technology()
2nd Author's Name Tatsuya Matsukawa
2nd Author's Affiliation NTT
3rd Author's Name Hiroaki Ishii
3rd Author's Affiliation Graduate School of Information Science and Technology, Osaka University
Date 2002/6/14
Paper # IN2002-22
Volume (vol) vol.102
Number (no) 132
Page pp.pp.-
#Pages 6
Date of Issue