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A new spotbeam handover management technique for LEO satellite networks

Sungrae Cho, Ian F. Akyildiz, Michael D. Bender, H. Uzanalioglu

Open publisher page 12 citations

Abstract

The geographical connection admission control (GCAC) algorithm is introduced for low Earth orbit (LEO) satellite networks. The GCAC scheme estimates the future handover blocking probability of a new call attempt based on the user location database, in order to decrease the handover blocking. By simulation, it is shown that the proposed GCAC scheme guarantees the handover blocking probability to a predefined target level. Since GCAC algorithm utilizes the user location information, performance evaluation shows that this technique also guarantees the target level of handover blocking probability in the nonuniform traffic pattern.

About this research paper

What this paper is about

The geographical connection admission control (GCAC) algorithm is introduced for low Earth orbit (LEO) satellite networks. The GCAC scheme estimates the future handover blocking probability of a new call attempt based on the user location database, in order to decrease the handover blocking. By simulation, it is shown that the proposed GCAC scheme guarantees the handover blocking probability to a predefined target level. Since GCAC algorithm utilizes the user location information, performance evaluation shows that this technique also guarantees the target level of handover blocking probability in the nonuniform traffic pattern.

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OpenAlex reports 12 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

The geographical connection admission control (GCAC) algorithm is introduced for low Earth orbit (LEO) satellite networks. The GCAC scheme estimates the future handover blocking probability of a new call attempt based on the user location database, in order to decrease the handover blocking. By simulation, it is shown that the proposed GCAC scheme guarantees the handover blocking probability to a predefined target level. Since GCAC algorithm utilizes the user location information, performance evaluation shows that this technique also guarantees the target level of handover blocking probability in the nonuniform traffic pattern.

Key concepts: Handover, Blocking (statistics), Computer science, Computer network, Low earth orbit, Call blocking, Satellite, Scheme (mathematics)

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