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DOI: 10.14569/IJACSA.2018.091259
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Improved Design of an Adaptive Massive MIMO Spherical Antenna Array

Author 1: Mouloud Kamali
Author 2: Adnen Cherif

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 12, 2018.

  • Abstract and Keywords
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Abstract: Massive capacity and connectivity are the main boundaries towards standing the Internet of Everything (IoE) basis and defining modern wireless generation requirements. These needs cannot be achieved by already deployed phased array antenna in terms of distributed and oriented geometry, dimensions and design. We propose in the present paper an innovating massive multiple input multiple output (MIMO) spherical array network aiming to draw a new three-dimensional configuration to enhance the beam steering, improve bandwidth, total capacity and the scan flexibility. Resolved issues in concordance with 5G requirements are adaptive massive MIMO by using millimeter-wave antenna arrays, small cell design and definition of recommended operational frequency considering the International Telecommunication Union (ITU) norms and directives. The new geometric forms of spherical smart antenna could easily scan all 3D space, ensure higher capacity and reach tens of Giga bit per second (Gbps) value besides eradicating energy wastage aspect of Beam Division Multiple Access (BDMA) in base stations. Mathematical design is detailed and performed simulation results are presented using MATLAB software Tool.

Keywords: Adaptive spherical antenna; beam division multiple access BDMA; massive multiple input multiple output MIMO; millimeter-wave mm-wave

Mouloud Kamali and Adnen Cherif, “Improved Design of an Adaptive Massive MIMO Spherical Antenna Array” International Journal of Advanced Computer Science and Applications(IJACSA), 9(12), 2018. http://dx.doi.org/10.14569/IJACSA.2018.091259

@article{Kamali2018,
title = {Improved Design of an Adaptive Massive MIMO Spherical Antenna Array},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.091259},
url = {http://dx.doi.org/10.14569/IJACSA.2018.091259},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {12},
author = {Mouloud Kamali and Adnen Cherif}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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