TY - GEN
T1 - Effective assessment of mobile communication networks performance with clustering and neural modeling
AU - Lokshina, Izabella
AU - Bartolacci, Michael
PY - 2008/9/12
Y1 - 2008/9/12
N2 - In this paper, we present the core network model of universal mobile telecommunication system with calls that belong to one of four service classes and arrive randomly. Arriving calls are granted service based on specific service class, required maximum and minimum bandwidth, and available network resources. Performance of priority-based dynamic capacity allocation, suitable for the wireless ATM system is analyzed. Scheduling of the ATM cell transmission in each time division multiple access frame for the uplink is based on a priority scheme. Blocking probability and throughput parameters for bandwidth sharing policy are considered, and partial overlap link is implemented. The clustering procedure for the mobile communication networks performance assessment is developed where the blocking probability and throughput measurements are introduced with two-dimensional Markov reward model enhanced with vector quantification and neural modeling. The link occupancy probability distribution is optimized using neural network that was trained on the base of Kohonen rules. Simulation and numerical results are shown.
AB - In this paper, we present the core network model of universal mobile telecommunication system with calls that belong to one of four service classes and arrive randomly. Arriving calls are granted service based on specific service class, required maximum and minimum bandwidth, and available network resources. Performance of priority-based dynamic capacity allocation, suitable for the wireless ATM system is analyzed. Scheduling of the ATM cell transmission in each time division multiple access frame for the uplink is based on a priority scheme. Blocking probability and throughput parameters for bandwidth sharing policy are considered, and partial overlap link is implemented. The clustering procedure for the mobile communication networks performance assessment is developed where the blocking probability and throughput measurements are introduced with two-dimensional Markov reward model enhanced with vector quantification and neural modeling. The link occupancy probability distribution is optimized using neural network that was trained on the base of Kohonen rules. Simulation and numerical results are shown.
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U2 - 10.1109/WTS.2008.4547537
DO - 10.1109/WTS.2008.4547537
M3 - Conference contribution
AN - SCOPUS:51249105394
SN - 9781424418701
T3 - 7th Annual Wireless Telecommunications Symposium, WTS 2008
SP - 9
EP - 16
BT - 7th Annual Wireless Telecommunications Symposium, WTS 2008
T2 - 7th Annual Wireless Telecommunications Symposium, WTS 2008
Y2 - 24 April 2008 through 26 April 2008
ER -