Title
Power Allocation in Multibeam Satellite Systems: A Two-Stage Multi-Objective Optimization
Abstract
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.
Year
DOI
Venue
2015
10.1109/TWC.2015.2402682
IEEE Trans. Wireless Communications
Keywords
Field
DocType
Multibeam satellite systems, co-channel interference (CCI), traffic demand, unmet system capacity, power allocation, multi-objective optimization, NP-hard, metaheuristics, dimension reduction
Mathematical optimization,A priori and a posteriori,Satellite system,Real-time computing,Multi-objective optimization,Rendering (computer graphics),Dimensioning,Optimization problem,Mathematics,Payload,Metaheuristic
Journal
Volume
Issue
ISSN
PP
99
1536-1276
Citations 
PageRank 
References 
15
0.69
11
Authors
6