Queuing with adaptive modulation and coding over wireless links: cross-Layer analysis and design
IEEE Transactions on Wireless Communications
ASMTA '08 Proceedings of the 15th international conference on Analytical and Stochastic Modeling Techniques and Applications
A Performance Model for Maintenance Tasks in an Environment of Virtualized Servers
NETWORKING '09 Proceedings of the 8th International IFIP-TC 6 Networking Conference
An initiative for a classified bibliography on G-networks
Performance Evaluation
Spectral expansion solutions for markov-modulated queues
Network performance engineering
Generalized QBD processes, spectral expansion and performance modeling applications
Network performance engineering
Some new Markovian models for traffic and performance evaluation of telecommunication networks
Network performance engineering
Bibliography on G-networks, negative customers and applications
Mathematical and Computer Modelling: An International Journal
An efficient model for dimensioning an ATA-based virtual storage system
Computers and Electrical Engineering
M/M/1 retrial queue with working vacations and negative customer arrivals
International Journal of Advanced Intelligence Paradigms
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A new queuing model is proposed for the performance evaluation of the High Speed Downlink Packet Access (HSDPA) protocol, with respect to a specified user, in UMTS networks. The model is based on the recently evolved MM ΣΚκ= CPPκGEcLG-queue1, in which the number of servers allocated to a specified user is subjected to vary according to the physical channel allocation policy. This queue is, essentially, an important variant of the so-called Sigma queuing model, and it is able to capture most of the features of HSDPA wireless communications, such as traffic-burstiness, channel fading, channel allocation policy, etc., in an integrated way. Numerical results for the performance of HSDPA with respect to a specified user are obtained, and different HSDPA user equipment categories are compared with respect to their computed model throughputs.