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Intelligent Computing - Proceedings of the Computing Conference

CompCom 2019: Intelligent Computing pp 336–344Cite as

Downlink High Quality 72 GHz Millimeter

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 998))

Abstract

This paper investigates the performance of downlink transmission for millimetre wave in radio over a fiber system. Firstly, a high clarity optical 72 GHz millimeter wave signal is generated by using a frequency quadrupling technique based on carrier suppression. The optical carrier suppression ratio of the generated 72 GHz signal is 71 dB. Thus, highly suppression of optical carrier and harmonics lead to obtain high purity millimeter-wave which will decrease suffering from impairment due to fiber dispersion. Then, the performance of a modulated millimeter in downlink data transmission is investigated by using an additional optical modulator. Two different optical modulators are used to compare the performance of achieved mm-wave; Mach Zehnder modulator and Electro Absorption modulator. It is found that the signal when modulated using EAM has better performance than when this done with MZM. The Max Q factor for 80 km are nearly up to 20 when utilizing the former, but just 2.3 when the latter is deployed.

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Author information

Authors and Affiliations

  1. Brunel University London, West of London, Uxbridge, UB8 3PH, UK

    Fawziya Al-Wahaibi & Hamed Al-Rwashidi

Authors
  1. Fawziya Al-Wahaibi
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  2. Hamed Al-Rwashidi
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Corresponding authors

Correspondence to Fawziya Al-Wahaibi or Hamed Al-Rwashidi .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

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Al-Wahaibi, F., Al-Rwashidi, H. (2019). Downlink High Quality 72 GHz Millimeter. In: Arai, K., Bhatia, R., Kapoor, S. (eds) Intelligent Computing. CompCom 2019. Advances in Intelligent Systems and Computing, vol 998. Springer, Cham. https://doi.org/10.1007/978-3-030-22868-2_25

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