Reference : Power and Rate Allocation in Cognitive Satellite Uplink Networks
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/10993/24824
Power and Rate Allocation in Cognitive Satellite Uplink Networks
English
Lagunas, Eva mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Maleki, Sina mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Soltanalian, Mojtaba [> >]
Perez-Neira, Ana I. [> >]
Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
2016
IEEE International Conference on Communications, ICC 2016
Yes
International
IEEE International Conference on Communications, ICC 2016
23-05-2016 to 27-05-2016
IEEE
Kuala Lumpur
Malaysia
[en] Cognitive Radio ; Cognitive Satellite ; Satellite Communications ; Power Allocation ; Rate Allocation ; Fairness ; Multi Objective Optimization ; Pareto Optimal
[en] In this paper, we consider the cognitive satellite uplink where satellite terminals reuse frequency bands of Fixed-Service (FS) terrestrial microwave links which are the incumbent
users in the Ka 27.5-29.5 GHz band. In this scenario, the transmitted power of the cognitive satellite terminals has to be controlled so as to satisfy the interference constraints imposed by the incumbent FS receivers. We investigate and analyze a set of optimization frameworks for the power and rate allocation problem in the considered cognitive satellite scenario. The main
objective is to shed some light on this rather unexplored scenario and demonstrate feasibility of the terrestrial-satellite co-existence. In particular, we formulate a multi-objective optimization problem where the rates of the satellite terminals form the objective vector and derive a general iterative framework which provides a Pareto-optimal solution. Next, we transform the multi-objective optimization problem into different single-objective optimization problems, focusing on popular figures of merit such as the sumrate or the rate fairness. Supporting results based on numerical simulations are provided which compare the different proposed
approaches.
Fonds National de la Recherche - FnR
http://hdl.handle.net/10993/24824
H2020 ; 645047 - SANSA - Shared Access Terrestrial-Satellite Backhaul Network enabled by Smart Antennas
FnR ; FNR8225172 > Symeon CHATZINOTAS > SATSENT > SATellite SEnsor NeTworks for spectrum monitoring > 01/04/2015 > 31/03/2018 > 2014

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