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Information Journal Paper

Title

AN INVESTIGATION ON ADVANTAGES OF UTILIZING ADAPTIVE BIT RATE FOR LEO SATELLITE LINK ENGINEERING

Pages

  1-13

Keywords

ADAPTIVE BIT RATE (ABR)Q3
LOW EARTH ORBIT (LEO)Q3
QUADRIFILAR HELIX ANTENNA (QHA)Q3
STORE &FORWARD (SAF) SCENARIOQ3

Abstract

 The paper aims to investigate the advantages of using adaptive bit rate in the communication link of a LEO satellite. While doing the study, it is assumed that there is a communication subsystem on-board responsible for gathering the information sent by a number of ground user terminals. The subsystem which operates based on Store-and-Forward (SAF) Scenario, contains two communication links, one for receiving data from user terminals (store case), and the other for forwarding the stored data to an Earth station (forward case). In fact, the current work aims to improve the volume of the data forwarded to Earth station. To this end, the Forward case bit rate is varied adaptively, and then by analyzing the power budget in a practical condition, the improvement achieved is evaluated. The results specifically obtained for a sample LEO satellite shows that utilizing adaptive bit rate instead of fixed bit rate can increase the daily data exchange up to about 100%.

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    Cite

    APA: Copy

    HOSSEINI, M., & REZAEI, P.. (2012). AN INVESTIGATION ON ADVANTAGES OF UTILIZING ADAPTIVE BIT RATE FOR LEO SATELLITE LINK ENGINEERING. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), 3(2), 1-13. SID. https://sid.ir/paper/203128/en

    Vancouver: Copy

    HOSSEINI M., REZAEI P.. AN INVESTIGATION ON ADVANTAGES OF UTILIZING ADAPTIVE BIT RATE FOR LEO SATELLITE LINK ENGINEERING. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING)[Internet]. 2012;3(2):1-13. Available from: https://sid.ir/paper/203128/en

    IEEE: Copy

    M. HOSSEINI, and P. REZAEI, “AN INVESTIGATION ON ADVANTAGES OF UTILIZING ADAPTIVE BIT RATE FOR LEO SATELLITE LINK ENGINEERING,” COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), vol. 3, no. 2, pp. 1–13, 2012, [Online]. Available: https://sid.ir/paper/203128/en

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