Analysis of Maximum Traffic Intensity and Optimal Channel Reservation Under QoS Constraints in LEO-MSS

Wang, Z.; Makrakis, Dimitrios; Mathiopoulos, P. Takis

doi:10.1109/lcomm.2008.080630

Cited by 6 publications

(1 citation statement)

References 2 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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Analysis of maximum traffic intensity for guaranteed handover and channel complete sharing scheme under pre-set QoS requirements in LEO-MSS

Liao

Liu

et al. 2015

The Journal of China Universities of Posts and Telecommunicatio

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Improving AoI by Caching Placement Optimization for a Satellite-Assisted Disaster Area

Wang,

Wei,

Liu

et al. 2023

2023 IEEE 15th International Conference on Advanced Infocomm Technology (ICAIT)

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Analysis of Maximum Traffic Intensity and Optimal Channel Reservation Under QoS Constraints in LEO-MSS

Cited by 6 publications

References 2 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

Analysis of maximum traffic intensity for guaranteed handover and channel complete sharing scheme under pre-set QoS requirements in LEO-MSS

Improving AoI by Caching Placement Optimization for a Satellite-Assisted Disaster Area

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