Pregled bibliografske jedinice broj: 291010
The Satellite Link Resource Management for Mobile Network
The Satellite Link Resource Management for Mobile Network // Proceedings of 23rd ICSSC(International Communications Satellite Systems Conference) / Jorgen Sandberg (ur.).
Rim: Instituto Internacionale delle Comunicazioni, Genoa, 2005. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
The Satellite Link Resource Management for Mobile Network
Autori
Krile, Srećko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 23rd ICSSC(International Communications Satellite Systems Conference)
/ Jorgen Sandberg - Rim : Instituto Internacionale delle Comunicazioni, Genoa, 2005
Skup
23rd International Communications Satellite Systems Conference)- ICSSC 2006
Mjesto i datum
Rim, Italija, 25.09.2005. - 28.09.2005
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
optimal capacity expansion; satellite link capacity planning; mobile satellite networks; satellite link expansion; satellite link resource management.
Sažetak
LESO (Land Earth Station Operator) needs very effective optimization tool for good utilization of link capacities (arranged from LES) in the next planning period. The efficient heuristic algorithm for optimal capacity sizing of N satellite links in the finite time period is being developed, minimizing the total expansion cost. In the same time it ensures fulfillment of traffic demands with minimal exploitation loss caused by presence of idle capacities. The satellite link capacity planning can be seen as CEP (Capacity Expansion Problem). Instead of nonlinear convex optimization the CEP-problem is solved with network optimization method. Using the network flow approach the paper develops all possible expansion solutions for SPEP (Single Period Expansion Problem) and properties of extreme point solution are identified. The extreme flow theory enables separation of these extreme flows which can be a part of an optimal expansion solution from those which cannot be, that is the base of the heuristic approach. The proposed heuristic algorithm is compared with algorithm based on exact approach. In all numerical test-examples the best possible result (near-optimal expansion sequence) is achieved. The algorithm shows the reasonable complexity and significant computing time saving. It means that such heuristic algorithm can be successfully applied in short-term or medium-term satellite link capacity planning in mobile networks.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Tehnologija prometa i transport
