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DOI: 10.14569/IJACSA.2018.091254
PDF

Spectral Efficiency of Massive MIMO Communication Systems with Zero Forcing and Maximum Ratio Beamforming

Author 1: Asif Ali
Author 2: Imran Ali Qureshi
Author 3: Abdul Latif Memon
Author 4: Sajjad Ali Memon
Author 5: Erum Saba

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

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Abstract: The massive multiple-input-multiple-output (MIMO) is a key enabling technology for the 5G cellular communication systems. In massive MIMO (M-MIMO) systems few hundred numbers of antennas are deployed at each base station (BS) to serve a relatively small number of single-antenna terminals with multiuser, providing higher data rate and lower latency. In this paper, an M-MIMO communication system with a large number of BS antennas with zero-forcing beamforming is proposed for the improved spectral efficiency performance of the system. The zero forcing beamforming technique is used to overcome the interference that limits the spectral efficiency of M-MIMO communication systems. The simulation results authenticate the improvement in the spectral efficiency of M-MIMO system. The spectral efficiency value using zero-forcing beamforming is near to the spectral efficiency value with the no-interference scenario.

Keywords: Massive MIMO; Base station; channel capacity; Spectral efficiency; latency; cellular communication; beamforming techniques; throughput; mobile communication

Asif Ali, Imran Ali Qureshi, Abdul Latif Memon, Sajjad Ali Memon and Erum Saba, “Spectral Efficiency of Massive MIMO Communication Systems with Zero Forcing and Maximum Ratio Beamforming” International Journal of Advanced Computer Science and Applications(IJACSA), 9(12), 2018. http://dx.doi.org/10.14569/IJACSA.2018.091254

@article{Ali2018,
title = {Spectral Efficiency of Massive MIMO Communication Systems with Zero Forcing and Maximum Ratio Beamforming},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.091254},
url = {http://dx.doi.org/10.14569/IJACSA.2018.091254},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {12},
author = {Asif Ali and Imran Ali Qureshi and Abdul Latif Memon and Sajjad Ali Memon and Erum Saba}
}



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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