Massive MIMO and Hybrid Optimization for It’s Beamforming
Saurabh M Patel1, Kiritkumar R Bhatt2
1Saurabh M Patel, E&C department, Sardar vallabhbhai patel institute of technology, Vasad, India.
2Kiritkumar R Bhatt, E&C department Sardar vallabhbhai patel institute of technology, Vasad, India.
Manuscript received on 18 August 2019. | Revised Manuscript received on 25 August 2019. | Manuscript published on 30 September 2019. | PP: 7692-7698 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6232098319/2019©BEIESP | DOI: 10.35940/ijrte.C6232.098319
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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: The tremendous growth of traffic in wireless communication (WC) system has resulted in inadequate network capacity. 5th Generation (5G) is seen as next generation wireless communication system implemented with massive multiple-input multiple-output (M-MIMO) technology. It will play major role in future communication system. M-MIMO objective is high throughput and high speed. Beamforming technique is a key to high throughput objective – achieved by reduction in errors occurring in data transmission and reception. The intent of this research paper is to review – beam forming techniques implemented in M-MIMO and research work in this particular area. Paper classifies optimized beamforming techniques in detail for determining appropriate techniques that can be deployed in M-MIMO. Understanding limitations of present techniques and suggesting new approach for better throughput is outcome of retrospective analysis.
Keywords: Beamforming Techniques, Massive MIMO, Hybrid beamforming, Beamforming Classifications.
Scope of the Article: Classifications