Performance aspects of data broadcast in wireless networks with user retrials
IEEE/ACM Transactions on Networking (TON)
Channel idle periods in computer and telecommunication systems with customer retrials
Telecommunications Systems - Modeling, analysis, design and management
Comparatively simulation study to control congestion for wireless ATM networks
Mobility '06 Proceedings of the 3rd international conference on Mobile technology, applications & systems
Impact of tradeoff between blocking and interference on TDMA cell capacity planning
International Journal of Mobile Network Design and Innovation
ASMTA '09 Proceedings of the 16th International Conference on Analytical and Stochastic Modeling Techniques and Applications
Performance Analysis of Dedicated Signalling Channels in GERAN by Retrial Queues
Wireless Personal Communications: An International Journal
A low computation cost algorithm to solve cellular systems with retrials accurately
EURO-NGI'05 Proceedings of the Second international conference on Wireless Systems and Network Architectures in Next Generation Internet
Analysis of a cellular network with user redials and automatic handover retrials
NEW2AN'07 Proceedings of the 7th international conference on Next Generation Teletraffic and Wired/Wireless Advanced Networking
Computers and Electrical Engineering
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A novel approximate technique is proposed for the estimation of call blocking probabilities in cellular mobile telephony networks where call blocking triggers customer retrials. The approximate analysis technique is based on Markovian models with state spaces whose cardinalities are proportional to the maximum number of calls that can be simultaneously in progress within cells. The accuracy of the approximate technique is assessed by comparison against results of detailed simulation experiments, results of a previously proposed Markovian analysis approach, and upper and lower bounds to the call blocking probability. Numerical results show that the proposed approximate technique is very accurate, in spite of the remarkably small state spaces of the Markovian models