Transmit Antenna Optimization in Massive MIMO Technology with EE, SE Trade off
Inumula Veeraraghava Rao1, V. Malleswara Rao2
1I. Veeraraghava Rao*, ECE Department GITAM (Deemed To be University), Rushikonda, Visakhapatnam, India.
2Dr. V. Malleswara Rao, ECE Department, GITAM (Deemed To be University), Rushikonda, Visakhapatnam, India.
Manuscript received on October 16, 2019. | Revised Manuscript received on 25 October, 2019. | Manuscript published on November 10, 2019. | PP: 1926-1929 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4738119119/2019©BEIESP | DOI: 10.35940/ijitee.A4738.119119
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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: Massive MIMO Technology showed its unique characteristics and capabilities for future wireless communications where high data transmission rates are desired for fast growing 5G applications. High data transmission rates need more number of antennas at base station which comprised of increased system complexity and hardware cost. A proven method for reducing number of RF (radio frequency) chains at base station is Transmit Antenna Selection algorithm. In this paper an effective approach for TAS and optimizing the number of antennas at base station for desired data rates have been proposed and a Tradeoff between SE (Spectral Efficiency), EE (energy Efficiency) are discussed. MVGSA (modified velocity Gravitational Search algorithm) discussed for optimization of Transmit Antennas along with Improved SE and EE other effective algorithms are compared with multi objectives and data transmission rates. MVGSA proved with Improved SE and EE with Effective TAS.
Keywords: Massive MIMO, Transmit Antenna Selection, Energy Efficiency, Spectrum Efficiency, MVGSA
Scope of the Article: MIMO Antenna