Reference : Inbound Carrier Plan Optimization for Adaptive VSAT Networks
Scientific journals : Article
Engineering, computing & technology : Aerospace & aeronautics engineering
Computational Sciences
http://hdl.handle.net/10993/50951
Inbound Carrier Plan Optimization for Adaptive VSAT Networks
English
Lacoste, Clément mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Alves Martins, Wallace mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Chatzinotas, Symeon mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Emiliani, Luis mailto []
Undated
IEEE Transactions on Aerospace and Electronic Systems
Institute of Electrical and Electronics Engineers (IEEE)
No
0018-9251
1557-9603
Piscataway
NJ
[en] The past decades witnessed the application of adaptive modulation and coding (ACM) in satellite links. However, ACM technologies come at the cost of higher complexity when designing the network’s carrier plan and user terminals. Accounting for those issues is even more important when the satellite link uses frequencies in Ka band and above, where the attenuation caused by tropospheric phenomena is a major concern. In this paper, we propose a solution for the inbound, i.e. return link, carrier plan sizing of very small aperture terminal (VSAT) networks. As tropospheric attenuation is a key factor, we present a mathematical problem formulation based on spatially correlated attenuation time series generators. Our proposed sizing scheme is formulated as a mixed integer linear programming (MILP) optimization problem. The numerical results for a test scenario in Europe show a 10 to 50% bandwidth improvement over traditional sizing methods for outage probabilities lower than 1%.
Researchers ; Professionals
http://hdl.handle.net/10993/50951
FnR ; FNR14610745 > Clément Lacoste > RELICA > Macroscopic Optimization Of Return Link Carrier Allocation > 01/04/2020 > 30/11/2023 > 2020

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