DocumentCode
2103135
Title
Genetic Algorithm for TDRS Communication Scheduling with Resource Constraints
Author
Li, Zong-li ; Meng, Xin ; Liu, Shu-qian ; Zhang, Sheng-lei ; Zheng, Wei
Author_Institution
Center for Space Sci. & Appl. Res., Beijing
fYear
2008
fDate
21-22 Dec. 2008
Firstpage
74
Lastpage
77
Abstract
The focus of this paper is dynamic link allocation algorithms for sharing the limited link resources of the tracking and data relay satellites (TDRS) system among many burst users with varying quality of service (QoS) requirements. The task of scheduling communications between TDRS link and spacecraft is getting more and more critical since an increasing number of spacecraft must communicate with ground station by the TDRS. In such a congested scenario, the current practice, in which experts build hand-made schedules, often leaves a large number of communication requests un-served. This paper proposes a tight time-indexed formulation of the problem to include several complex technological constraints. A genetic algorithm is then devised which provides near-optimal solutions of a set of large-scale test problems arising in the TDRS-spacecraft constellation. As the simulation result, the genetic algorithm shows numerical stability and robustness adequate for practical implementation.
Keywords
genetic algorithms; quality of service; satellite communication; scheduling; TDRS communication scheduling; Tracking and Data Relay satellites; data relay satellites; dynamic link allocation algorithms; genetic algorithm; quality of service; resource constraints; tracking; Genetic algorithms; Heuristic algorithms; Large-scale systems; Quality of service; Relays; Resource management; Satellite ground stations; Space technology; Space vehicles; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3505-0
Type
conf
DOI
10.1109/IITA.Workshops.2008.85
Filename
4731884
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