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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dai, L.L. Chan, V.W.S. |
| Copyright Year | 1983 |
| Abstract | Satellite network architecture plays an important role in the success of a satellite business. For future commercial broadband data satellite networks integrated with the terrestrial network, satellite network topology, link capacity, and routing have major impacts on the cost of the network and the amount of revenue the network can generate. To find the most cost-effective satellite network topology, we propose a unified mathematical framework using a two-stage stochastic programming formulation. The solution to the stochastic programming formulation gives optimal link capacities and an optimal routing strategy for different network topologies, taking into account uncertainties in long-term aggregate traffic statistic estimation. Using a simple satellite network example, we show the feasible topology regions for three different satellite topologies and show that, for some parameter values, the hybrid topology is more cost effective than nonhybrid topologies. In the limit of high traffic rejection cost, stochastic dimensioning reduces to static dimensioning. We study worst case static dimensioning for a general geosynchronous earth orbit satellite network and show the feasible topology regions, as well as effective cost comparisons for different topologies. We conclude with a discussion on network cost and architectural flexibility relating to satellite network design. |
| Starting Page | 287 |
| Ending Page | 299 |
| Page Count | 13 |
| File Size | 717626 |
| File Format | |
| ISSN | 07338716 |
| Volume Number | 22 |
| Issue Number | 2 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-02-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Routing Satellites Network topology Costs Stochastic processes Telecommunication traffic Business Mathematical programming Uncertainty Aggregates |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications Electrical and Electronic Engineering |
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