Fixed Versus Adaptive Admission Control in Direct Broadcast Satellite Networks With Return Channel Systems

Alagöz, Fatíh; Vojcic, B.R.; Walters, David H.; AlRustamani, A.A.; Pickholtz, R.L.

doi:10.1109/jsac.2003.819972

Cited by 17 publications

(21 citation statements)

References 23 publications

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“…The decision on the call acceptance is taken following the evaluation of the excess demand probability, i.e., the probability that the accepted calls during their activation periods request more buffer resources than those available. In [54,55] the authors propose an adaptive admission control strategy, which is aimed at facing link congestion and compromised channel conditions inherent in multimedia satellite networks. They present the performance comparisons of a traditional (fixed) admission control strategy versus the new adaptive admission control strategy for a Direct Broadcast Satellite (DBS) network with Return Channel System (DBS-RCS).…”

Section: Call Admission Control Algorithmsmentioning

confidence: 99%

Multimedia Traffic over Wireless and Satellite Networks

Rango¹,

Tropea²,

Fazio³

2010

Digital Video

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Section: Call Admission Control Algorithmsmentioning

confidence: 99%

Multimedia Traffic over Wireless and Satellite Networks

Rango¹,

Tropea²,

Fazio³

2010

Digital Video

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“…In computer networks extending over large geographical areas and in multiservice packet switching communication networks, in the presence of limited resources (buffers, bandwidth, or generation, adaptive modulation and coding, multiple access, flow control and resource allocation [8,20,[22][23][24][25][26][27][28][29].…”

Section: Optimization Problems In Telecommunication Networkmentioning

confidence: 99%

“…ARQ is usually deprecated, since real-time traffic requires stringent latency constraints. On the other hand, FEC mechanisms allow recovering erroneous packets, despite channel degradation, but they may cause further congestion and more packet loss in the network [22,23,35], owing to their overhead. Hence, a trade-off must be found out between the resource allocation and the redundancy introduced by the FEC algorithm.…”

Section: Optimization Problems In Telecommunication Networkmentioning

confidence: 99%

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Resource allocation in satellite networks: certainty equivalent approaches versus sensitivity estimation algorithms

Davoli¹,

Marchese²,

Mongelli³

2005

Int. J. Commun. Syst.

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In this paper, we consider a resource allocation problem for a satellite network, where variations of fading conditions are added to those of traffic load. Since the capacity of the system is finite and divided in finite discrete portions, the resource allocation problem reveals to be a discrete stochastic programming one, which is typically NP-hard. We propose a new approach based on the minimization over a discrete constraint set using an estimation of the gradient, obtained through a 'relaxed continuous extension' of the performance measure. The computation of the gradient estimation is based on the infinitesimal perturbation analysis technique, applied on a stochastic fluid model of the network. No closed-forms of the performance measure, nor additional feedback concerning the state of the system, and very mild assumptions on the probabilistic properties about the statistical processes involved in the problem are requested. Such optimization approach is compared with a dynamic programming algorithm that maintains a perfect knowledge about the state of the satellite network (traffic load statistics and fading levels). The comparison shows that the sensitivity estimation capability of the proposed algorithm allows to maintain the optimal resource allocation in dynamic conditions and it is able to provide even better performance than the one reached by employing the dynamic programming approach

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“…Other works in the literature References ( [1][2][3][4][5][6][7] in the fade level variation, we categorize the measured value of the signal attenuation in a class 'level'. This way, the countermeasure strategy adopted remains unchanged for all those levels of signal attenuation that belong to the same class.…”

Section: Introductionmentioning

confidence: 99%

Adaptive cross‐layer bandwidth allocation in a rain‐faded satellite environment

Celandroni

Davoli

Ferro

et al. 2005

Int J Communication

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SUMMARYTwo control schemes, based on cross-layer adaptation and a hierarchical parametric optimization of the bandwidth allocation, are described and investigated in a satellite network environment, in the presence of both real-time and best-effort traffic flows. A number of earth stations (traffic stations) operate in different weather conditions, with different levels of fade, which affect the transmitted signals. The call admission control policy for real-time connections is administered locally at the traffic stations. A master station is charged to manage the time division multiple access bandwidth allocation policy, by defining bandwidth partitions to the traffic stations. Upon detecting significant fade changes, the signalling from the traffic stations triggers new bandwidth redistributions. The control schemes are compared, and the effect of fade countermeasures, applied at the physical layer, on the bandwidth occupation is explicitly accounted for. For each policy, figures of merit such as loss, blocking and dropping probabilities are computed for a specific real environment, based on the Italsat satellite national coverage payload characteristics.

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Fixed Versus Adaptive Admission Control in Direct Broadcast Satellite Networks With Return Channel Systems

Cited by 17 publications

References 23 publications

Multimedia Traffic over Wireless and Satellite Networks

Multimedia Traffic over Wireless and Satellite Networks

Resource allocation in satellite networks: certainty equivalent approaches versus sensitivity estimation algorithms

Adaptive cross‐layer bandwidth allocation in a rain‐faded satellite environment

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