Lack of Invariant Property of the Erlang Loss Model in Case of MAP Input
Queueing Systems: Theory and Applications
Handoff multiple queue model in microcellular networks
Computer Communications
MBMS Handover control: A new approach for efficient handover in MBMS enabled 3G cellular networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Computers and Electrical Engineering
Computers and Electrical Engineering
A Queue-Aware Scheduling Algorithm for Multihop Relay Wireless Cellular Networks
MWS '09 Proceedings of the 2009 IEEE Mobile WiMAX Symposium
Modeling and analysis of queuing handoff calls in single and two-tier cellular networks
Computer Communications
An efficient solution to a retrial queue for the performability evaluation of DHCP
Computers and Operations Research
Modeling a resource contention in the management of virtual organizations
Information Sciences: an International Journal
A new computational algorithm for retrial queues to cellular mobile systems with guard channels
Computers and Industrial Engineering
MAP1, MAP2/M/c retrial queue with the retrial group of finite capacity and geometric loss
Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal
Accessible bibliography on retrial queues: Progress in 2000-2009
Mathematical and Computer Modelling: An International Journal
Modeling of customer retrial phenomenon in cellular mobile networks
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Computers and Operations Research
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We consider a queueing model with N channels and an orbit with infinite waiting positions to model a specific cell in wireless networks. It is assumed that handoff and new calls have different arrival rates of Markov Arrival Process (MAP) and their channel holding time distributions are different Phase-type (PH) distributions. We analyze the Markov chain underlying the queueing system and obtain its ergodicity condition. Using matrix analytic techniques, we derive many performance measures such as the blocking probability of new calls and the dropping probability of handoff calls, the idle probability of the target cell, the mean queue lengths of two types of calls. We give numerical results to show the impact of system parameters on performance measures.