Analysis of maximum traffic intensity under pre‐set quality of service requirements in low earth orbit mobile satellite system for fix channel reservation with queueing handover scheme

Liao, Mingxia; Liu, Yuanan; Hu, Hefei

doi:10.1049/iet-com.2014.0721

Cited by 11 publications

(8 citation statements)

References 17 publications

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“…Fig. 1 illustrates the mobility model which consists of N rectangular bounded cells, modeled in [1], [6]- [8]. The speed and direction of the mobile terminal (MT) can be neglected compared to the LEO satellite, thus the MT can be thought of crossing the network with a relatively constant speed of sub-satellite point Vtrk , but in the opposite direction.…”

Section: Channel Reservation Procedures For Multi-class Servicesmentioning

confidence: 99%

Performance Analysis of Priority-Based Multi-class Traffic Channel Reservation Scheme in LEO-MSS

2016

Proceedings of 2016 the 6th International Workshop on Computer Science and Engineering

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This paper proposes a channel reservation scheme for handovers which efficiently supports multi-class traffic in low earth orbit mobile satellite systems (LEO-MSS). Analytical methods are developed for evaluating the performance of priority-based multi-class traffic channel reservation scheme (PMCR). The new call blocking probability and handover failure probability of PMCR for each traffic are deduced. The simulation results verify the correctness and accuracy of the proposed scheme and show that the new call blocking probability of the system is lower than fixed channel reservation (FCR) and handover call performance of services of high levels can be improved by the introduction of priorities.

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Section: Channel Reservation Procedures For Multi-class Servicesmentioning

confidence: 99%

Performance Analysis of Priority-Based Multi-class Traffic Channel Reservation Scheme in LEO-MSS

2016

Proceedings of 2016 the 6th International Workshop on Computer Science and Engineering

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“…These models can be classified based on various critical intrinsic characteristics, such as the channel sharing policy, the existence of queues or not, etc. In the next two paragraphs, the most relevant teletraffic models to LEO-MSS are cited, shortly discussed and classified as single-rate (e.g., [4]- [12]) and multirate (e.g., [13]- [15]). This classification has been made not only for simplicity of their presentation but also in order to show that few models exist in the case of multirate satellite traffic.…”

Section: Introductionmentioning

confidence: 99%

“…To guarantee a certain QoS to handover calls, a fixed channel reservation (FCR) policy is considered, named as channel-locking mechanism, which treats differently the first call handover from the subsequent ones. Extensions of [4] are numerous and related to schemes based on: i) dynamic channel reservation with [5] or without [6] priorities, ii) time-based channel reservation [7,8] iii) Doppler-based handover prioritization [9,10], iv) probabilistic reservation for the handover management [11] and v) FCR with first-in-first-out queueing handover [12].…”

Section: Introductionmentioning

confidence: 99%

“…In the open technical literature, various teletraffic loss or queueing models have been introduced for the call-level analysis of LEO-MSS (e.g. [4][5][6][7][8][9][10][11][12][13][14][15]). These models can be classified based on various critical intrinsic characteristics, such as the channel sharing policy, the existence of queues or not and so on.…”

Section: Introductionmentioning

confidence: 99%

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An analytical framework in LEO mobile satellite systems servicing batched Poisson traffic

Moscholios¹,

Sarigiannidis²,

Sagias³

et al. 2017

IET Communications

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We consider a low earth orbit (LEO) mobile satellite system (MSS) that accepts new and handover calls of multirate service-classes. New calls arrive in the system as batches, following the batched Poisson process. A batch has a generally distributed number of calls. Each call is treated separately from the others and its acceptance is decided according to the availability of the requested number of channels. Handover calls follow also a batched Poisson process. All calls compete for the available channels under the complete sharing policy. By considering the LEO-MSS as a multirate loss system with "satellite-fixed" cells, it can be analyzed via a multidimensional Markov chain, which yields to a product form solution (PFS) for the steady state distribution. Based on the PFS, we propose a recursive and yet efficient formula for the determination of the channel occupancy distribution, and consequently, for the calculation of various performance measures including call blocking and handover failure probabilities. The latter are much higher compared to the corresponding probabilities in the case of the classical (and less bursty) Poisson process. Simulation results verify the accuracy of the proposed formulas. Furthermore, we discuss the applicability of the proposed model in software-defined LEO-MSS.

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“…To guarantee a certain QoS to handover calls, a fixed channel reservation (FCR) policy is considered, named channel-locking mechanism, that treats different the first handover from the subsequent handovers of a call. Extensions of [4] are related to schemes based on: i) dynamic channel reservation with [5] or without priorities [6], ii) time-based channel reservation [7], [8] iii) Doppler-based handover prioritization [9], [10], iv) probabilistic reservation for the handover management [11] and v) FCR with first-infirst-out queuing handover [12]. Recently, in [13] a queuing model has been proposed for the analysis of a LEO-MSS in the case of correlated service times.…”

mentioning

confidence: 99%

On Channel Sharing Policies in LEO Mobile Satellite Systems

Moscholios

Sagias

Logothetis

2018

IEEE Trans. Aerosp. Electron. Syst.

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Abstract-We consider a low earth orbit (LEO) mobile satellite system with "satellite-fixed" cells that accommodates new and handover calls of different service-classes. We provide an analytical framework for the efficient calculation of call blocking and handover failure probabilities under two channel sharing policies, namely the fixed channel reservation and the threshold call admission policies. Simulation results verify the accuracy of the proposed formulas. Furthermore, we discuss the applicability of the policies in software-defined LEO satellites.Index Terms-Low earth orbit (LEO) satellite, mobile satellite system, channel sharing policies, call blocking, software-defined network.

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Analysis of maximum traffic intensity under pre‐set quality of service requirements in low earth orbit mobile satellite system for fix channel reservation with queueing handover scheme

Cited by 11 publications

References 17 publications

Performance Analysis of Priority-Based Multi-class Traffic Channel Reservation Scheme in LEO-MSS

Performance Analysis of Priority-Based Multi-class Traffic Channel Reservation Scheme in LEO-MSS

An analytical framework in LEO mobile satellite systems servicing batched Poisson traffic

On Channel Sharing Policies in LEO Mobile Satellite Systems

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