Numerical investigation of a multiserver retrial model
Queueing Systems: Theory and Applications - Special issue of queueing systems, theory and applications
On optimal call admission control in cellular networks
Wireless Networks
On the handoff arrival process in cellular communications
Wireless Networks
The GSM System for Mobile Communications
The GSM System for Mobile Communications
Measurement-based replanning of cell capacities in GSM networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Congestion at flow level and the impact of user behaviour
Computer Networks: The International Journal of Computer and Telecommunications Networking
An approximative method for calculating performance measures of Markov processes
valuetools '06 Proceedings of the 1st international conference on Performance evaluation methodolgies and tools
On the impact of customer balking, impatience and retrials in telecommunication systems
Computers & Mathematics with Applications
IEEE 802.20: mobile broadband wireless access
IEEE Wireless Communications
Stochastic inequalities for M/G/1 retrial queues with vacations and constant retrial policy
Mathematical and Computer Modelling: An International Journal
Colored stochastic Petri nets for modelling and analysis of multiclass retrial systems
Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal
Accessible bibliography on retrial queues
Mathematical and Computer Modelling: An International Journal
Homogeneous finite-source retrial queues with server subject to breakdowns and repairs
Mathematical and Computer Modelling: An International Journal
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In communication networks that guarantee seamless mobility of users across service areas, reattempts occur as a result of user behavior but also as automatic retries of blocked handovers. A multiserver system with two reattempt orbits is obtained when modeling these networks. However, an exact Markovian model analysis of such systems has proven to be infeasible and resorting to approximate methods is mandatory. To the best of our knowledge all the existing methods are based on computing the steady state probabilities. We propose another approach based on the relative state values that appear in the Howard equations. We compare the proposed method with the most well-known methods appeared in the literature in a wide range of scenarios. The results of the numerical evaluation carried out show that this solution outperforms the previous approaches in terms of both accuracy and computation cost for the most common performance parameters used in retrial systems.