Spectral Efficient Massive Mimo Multi-Cell 5G Cellular Environment Using Optimal Linear Processing Schemes
Madan Mohan Rao. Nelluri1, Habibullah Khan.2
1Madan Mohan Rao. Nelluri, Associate Professor, Department of ECE, DRK Institute of Technology, Hyderabad (Telangana), India.
2Dr. Habibullah Khan, Professor, Department of ECE, Dean Student Affairs, K L University, Vijayawada (Andhra Pradesh), India.
Manuscript received on 24 March 2019 | Revised Manuscript received on 05 April 2019 | Manuscript Published on 18 April 2019 | PP: 505-509 | Volume-7 Issue-6S March 2019 | Retrieval Number: F02970376S19/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, the optimal scheduling of UEs per cell is carried out to increase the spectral efficiency of 5G wireless networks with massive MIMO antennas in multi-cell systems. The scheduling of UEs is carried out in terms of several system parameters. The scheduling is carried out by considering a multi-objective function that optimizes of arbitrary pilot reuse, power control and random user locations. Expressions are derived to validate uplink and downlink transmission with power control and random user locations to increase the performance of UEs. The inter-cell interferences are suppressed using linear processing schemes in a coordinated beamforming fashion.
Keywords: UE, Massive MIMO Antennas, Linear Processing Schemes, System Parameters.
Scope of the Article: Machine-to-Machine Communications for Smart Environments