2009
DOI: 10.1109/twc.2009.080002
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Call admission control scheme for multiclass services under rain fading for satellite networks

Abstract: Resource allocation and call admission control (CAC) are two key issues in satellite networks for multimedia applications with quality of service (QoS) guarantees. This paper introduces a new priority-based CAC scheme for multiclass services in satellite networks operating above 10 GHz, where the dominant factor limiting performance is rain attenuation, a phenomenon exhibiting both spatial and temporal variation. The proposed scheme exploits the predictability of the satellite channel and accepts a new call if… Show more

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Cited by 14 publications
(9 citation statements)
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References 19 publications
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“…Traditional CAC policies proposed in [20][21][22] are inefficient in providing QoS guarantees to multimedia connections in contemporary satellite networks due mainly to their lack of consideration of the impact of the time-varying behaviour of satellite channel on users' experience. Other proposals for CAC in satellite networks [5][6][7], where rain fading is mitigated by the adaptation of forward error correction (FEC) codes only, to the rain attenuation dynamics are not optimal in performance. A basic yet dynamic approach to admission control and link state prediction and adaptation to mitigate rain attenuation in satellite networks is presented in [23].…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Traditional CAC policies proposed in [20][21][22] are inefficient in providing QoS guarantees to multimedia connections in contemporary satellite networks due mainly to their lack of consideration of the impact of the time-varying behaviour of satellite channel on users' experience. Other proposals for CAC in satellite networks [5][6][7], where rain fading is mitigated by the adaptation of forward error correction (FEC) codes only, to the rain attenuation dynamics are not optimal in performance. A basic yet dynamic approach to admission control and link state prediction and adaptation to mitigate rain attenuation in satellite networks is presented in [23].…”
Section: Related Workmentioning
confidence: 99%
“…But the efficiency of these techniques depends on the precision with which rain attenuation statistics are captured over time. For instance, the prediction methods employed in [5][6][7][8] estimate the rain attenuation that will be experienced during a user's connection without considering that the attenuation experienced during rain events is dynamic in time. Hence, when implemented, the proposed approach may result in inefficient utilization of allocated bandwidth as accepted connections may receive insufficient or excessive bandwidth allocation.…”
Section: Introductionmentioning
confidence: 99%
“…The analysis presented can easily be extended to nonhomogeneous networks supporting multiple SCs [5,9,10]. The channel holding time for both SC calls follows the exponential distribution with mean 1= [12,13]. Although the incoming call process may not necessarily be Poisson, it has been demonstrated that non-Poisson incoming traffic models yield negligibly different results [11].…”
Section: System Model and Probabilistic Call Admission Control Schemementioning
confidence: 99%
“…Although the incoming call process may not necessarily be Poisson, it has been demonstrated that non-Poisson incoming traffic models yield negligibly different results [11]. The channel holding time for both SC calls follows the exponential distribution with mean 1= [12,13].…”
Section: System Model and Probabilistic Call Admission Control Schemementioning
confidence: 99%
“…In [4], an adaptive CAC algorithm for multiservice Wimax networks is introduced. In [5] and [6], cross-layer CAC algorithms for satellite networks that take into account rain fading and the users demands by considering one or two service classes, respectively, while in [7] a cross-layer analytical technique to study a CAC mechanism in wireless networks operating in Rayleigh fading is introduced.…”
mentioning
confidence: 99%