2009
DOI: 10.3233/sc-2009-0330
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Integration of Fade Mitigation within centrally managed MF-TDMA/DVB-RCS networks

Abstract: This paper addresses the integration of a Fade Mitigation Technique (FMT) within a centrally managed MF-TDMA satellite network in the context of guaranteed QoS delivery. Burst Length Control (BLC) is introduced as a suitable FMT and the methodology of its design and implementation within the existing DVB-RCS standard is described and simulated. The proposed technique provides compensation for rain attenuation at the expense of capacity utilisation. Within any fixed partition of the MF-TDMA space, by considerin… Show more

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Cited by 2 publications
(4 citation statements)
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“…In [6], the SNR is estimated using Markov model, on the basis of the worst case link condition, which may lead to a waste of bandwidth. Other researchers estimate SNR by averaging the SNR values measured for a given duration [9].…”
Section: Rain Fade Mitigation At Physical Layermentioning
confidence: 99%
“…In [6], the SNR is estimated using Markov model, on the basis of the worst case link condition, which may lead to a waste of bandwidth. Other researchers estimate SNR by averaging the SNR values measured for a given duration [9].…”
Section: Rain Fade Mitigation At Physical Layermentioning
confidence: 99%
“…Therefore, it remains constant during the connection, thus wasting bandwidth. In [16], the SNR prediction is made using an SNR estimator based on averaging the received SNR over many bursts of the same connection. In [15], the satellite channel is modeled using a semi-Markov chain with two states and the appropriate set of FEC/ source codes is selected to dynamically compensate for fading variations.…”
Section: Physical Layer Analysismentioning
confidence: 99%
“…The resource assignment problem in MF-TDMA uplinks has not been treated extensively. It has been dealt with by using either heuristic approaches [25] or Bin-packing procedures [16], anyway lacking an exact analysis. Only in [19], a Bin-packing algorithm is proposed to solve the resource assignment problem, but it achieves to maximize system throughput only for a limited range of system parameters values.…”
Section: Formulation Of the Problemmentioning
confidence: 99%
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