NDLI: A dynamic channel assignment in low Earth orbit mobile satellite systems

Content Provider	IEEE Xplore Digital Library
Author	Heesoo Lee Sok-kyu Lee KyungHi Chang Sehun Kim
Copyright Year	2002
Description	Author affiliation: Radio Transmission Technol. Res., ETRI, Daejeon, South Korea (Heesoo Lee; Sok-kyu Lee; KyungHi Chang)
Abstract	Several low Earth orbit (LEO) satellite constellations have been proposed for mobile satellite systems (MSS). Due to nonstationary coverage regions of individual LEO satellites, the offered traffic load for each cell varies continuously. The variation of the traffic load essentially requires dynamic channel assignment. Furthermore, extremely frequent handover requests require specific techniques that prioritize the service of handover requests. In this paper, we suggest a new dynamic channel assignment (DCA) scheme which eliminates forced call terminations due to handover failure (call dropping). This scheme utilizes frequency spectrum efficiently, and can also provide users a high-quality premium service that guarantees the success of each handover procedure, called guaranteed handover service. This is based on position measurement. Finally, we compare our algorithm with some other DCA algorithms by computational experiments. The results of the experiments show that our algorithm provides systems with higher throughput (higher completed call ratio) as well as guaranteed handovers.
Starting Page	1016
Ending Page	1020
File Size	604867
Page Count	5
File Format	PDF
ISBN	0780374673
ISSN	10903038
DOI	10.1109/VETECF.2002.1040756
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-09-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Low earth orbit satellites Satellite broadcasting Telecommunication traffic Resource management Frequency Position measurement Global Positioning System Industrial engineering Satellite constellations Throughput
Content Type	Text
Resource Type	Article

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