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59683

PERFORMANCE OF LOW EARTH ORBIT SATELLITE SYSTEMS WITH A GAUSSIAN MIXTURES TRAFFIC DISTRIBUTION

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Last updated: 04 Jan 2025

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Abstract

A new traffic model for Low Earth Orbit (LEO) Satellite system is proposed. Two different cases are considered. The first case represents the situation in which the traffic load follows a bimodal contaminated Gaussian distribution. The second case considers the trimodal distribution. The parameters of this new distribution model are introduced and their effects on the Signal to Interference Ratio (SIR) and the capacity are investigated.

DOI

10.21608/asat.2001.59683

Keywords

Low Earth Orbit Satellite Communication

Authors

First Name

HEBATALLAH

Last Name

MOURAD

MiddleName

M.

Affiliation

Assistance professor, Dept. of Communication, Faulty of Engineering, Cairo University, Giza, Egypt.

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First Name

ABD EL-AZIZ

Last Name

EL-BASIONI

MiddleName

M.

Affiliation

Lucent Technologies, Cairo Office.

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Orcid

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First Name

SHERIF

Last Name

EMAM

MiddleName

S.

Affiliation

PhD. Student.

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Orcid

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First Name

EMAD

Last Name

AL-HUSSAINI

MiddleName

K.

Affiliation

Professor, Dept. of Communication, Faulty of Engineering, Cairo University, Giza, Egypt.

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Volume

10

Article Issue

10th International Conference On Aerospace Sciences & Aviation Technology

Related Issue

4497

Issue Date

2003-05-01

Receive Date

2019-11-17

Publish Date

2003-05-01

Page Start

749

Page End

766

Print ISSN

2090-0678

Online ISSN

2636-364X

Article File

ASAT_Volume 10_Issue 10th International Conference On Aerospace Sciences & A….pdf

PDF . 1.2MB

Link

https://asat.journals.ekb.eg/article_59683.html

Detail API

https://asat.journals.ekb.eg/service?article_code=59683

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Original Article

Type Code

737

Publication Type

Journal

Publication Title

International Conference on Aerospace Sciences and Aviation Technology

Publication Link

https://asat.journals.ekb.eg/

MainTitle

PERFORMANCE OF LOW EARTH ORBIT SATELLITE SYSTEMS WITH A GAUSSIAN MIXTURES TRAFFIC DISTRIBUTION

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Article

Created At

22 Jan 2023