Performance analysis of the general packet radio service
Computer Networks: The International Journal of Computer and Telecommunications Networking
An improved model for GSM/GPRS/EDGE performance evaluation
Proceedings of the 4th international IFIP/ACM Latin American conference on Networking
WSEAS TRANSACTIONS on COMMUNICATIONS
New algorithms for QoS performance improvement in high speed networks
WSEAS TRANSACTIONS on COMMUNICATIONS
Algorithms for higher-order derivatives of Erlang C function
ICCOM Proceedings of the 13th WSEAS international conference on Communications
Blocking probability in FDMA-TDMA cellular system
ICCOM Proceedings of the 13th WSEAS international conference on Communications
Radio resources dimensioning according to different allocation strategies in GSM/GPRS networks
CIMMACS'09 Proceedings of the 8th WSEAS International Conference on Computational intelligence, man-machine systems and cybernetics
Mixed traffic models for dimensioning radio resources in GSM/GPRS networks
WSEAS TRANSACTIONS on SYSTEMS
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Many works have studied traffic modeling in GSM/GPRS networks trying to establish different performance parameters needed for dimensioning purposes. An important element of these networks is the radio resources. Sharing resources between different users and different services is a key concept of radio resources dimensioning in GSM/GPRS networks. In this paper we focus on the problem of performance evaluation in GSM/GPRS networks. We consider different resources allocation strategies such as: CP (Complete Partitioning) and PP (Partial Partitioning) and we study the influence of different operational details concerning TS (time-slots) assignment: FR (full rate), HR (half rate) and packing. Finally, we establish dimensioning rules based on traffic evaluation and quality of service level for GSM/GPRS users. For voice users the quality of service is given by the blocking probability calculated according to the proposed packing rule and for GPRS users the individual throughput and the blocking probability represent the performance parameters. We consider also the preemption probability of voice over data users.