Power Allocation in Multibeam Satellite Systems: A Two-Stage Multi-Objective Optimization

Multibeam satellite systems offer flexibility that aims at efficiently reusing the available spectrum. To fully exploit the flexibility advantages, the payload resources-transmit power and bandwidth-must be efficiently allocated among multiple beams. This paper investigates the resource optimization...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2015-06, Vol.14 (6), p.3171-3182
Main Authors: Aravanis, Alexis I., Shankar M R, Bhavani, Arapoglou, Pantelis-Daniel, Danoy, Gregoire, Cottis, Panayotis G., Ottersten, Bjorn
Format: Article
Language:English
Subjects:
Bandwidth
Co-channel interference
Complexity theory
Dimension reduction
Lead
Metaheuristics
Multi-objective optimization
Multibeam Satellite Systems
NP-hard
Optimization
Power allocation
Power demand
Resource management
Satellite systems
Satellites
Traffic demand
Unmet system capacity
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Summary:Multibeam satellite systems offer flexibility that aims at efficiently reusing the available spectrum. To fully exploit the flexibility advantages, the payload resources-transmit power and bandwidth-must be efficiently allocated among multiple beams. This paper investigates the resource optimization problem in multibeam satellites. The NP-hardness and inapproximability of the problem are demonstrated motivating the use of metaheuristics. A systematic approach accomplishing the best traffic match is carried out. The additional requirement of minimizing the total power consumption is then considered, giving rise to a multi-objective optimization approach. The solutions to the a priori accomplished traffic matching optimization are used to enhance the efficiency of the multi-objective metaheuristic method proposed and, consequently, of the multibeam satellite system. The optimized performance is represented by the Pareto front, which provides trade-off points between total power consumption and rate achieved. This allows the decomposition of the problem into independent color-based sub-problems rendering the proposed two-stage optimization framework suitable for dimensioning the next generation multispot satellite systems.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2015.2402682