Combinatorial Optimization in Communication Networks
DOI: 10.1007/0-387-29026-5_13
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Quasi-Optimal Resource Allocation in Multispot MFTDMA Satellite Networks

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Cited by 9 publications
(8 citation statements)
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“…In satellite as well as terrestrial network traffic switching the following problem occurs [1][2][3][4][5]: N transmitting stations have to send data to N receiving stations through a switch. The switch provides a number K of simultaneous transponders/carriers, where 14K4N: The traffic is represented by an N Â N demand traffic matrix M; where entry M ij is the traffic from station i to station j: (Each station may itself generate (receive) the stated traffic or may serve as a concentrator (deconcentrator) for traffic generated by (intended for) other stations lower down the hierarchy.)…”
Section: Introductionmentioning
confidence: 99%
“…In satellite as well as terrestrial network traffic switching the following problem occurs [1][2][3][4][5]: N transmitting stations have to send data to N receiving stations through a switch. The switch provides a number K of simultaneous transponders/carriers, where 14K4N: The traffic is represented by an N Â N demand traffic matrix M; where entry M ij is the traffic from station i to station j: (Each station may itself generate (receive) the stated traffic or may serve as a concentrator (deconcentrator) for traffic generated by (intended for) other stations lower down the hierarchy.)…”
Section: Introductionmentioning
confidence: 99%
“…Observe that for the data in Table I, this constraint allows to solve the problem of the placement by sacrificing less than w (1,4) /3456 = 0.897% of the bandwidth. It might be possible to do even better than that by adopting a lower value of δ, assuming that the arrangement will still be feasible.…”
Section: Results 41mentioning
confidence: 99%
“…Due to space limitations, we will not write here the placement algorithm. The interested reader may refer to [4] for a simple version of it. We will therefore just give an example of the final stage of an algorithm working with 3 types of terminals, as seen in Fig.…”
Section: Results 41mentioning
confidence: 99%
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