Open AccessTransmit Antenna Optimization in Massive MIMO Technology with EE, SE Trade off
Author(s) -
Inumula Veeraraghava Rao,
V. Malleswara Rao
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.a4738.119119
Subject(s) - base station , mimo , antenna (radio) , spectral efficiency , transmission (telecommunications) , computer science , data transmission , efficient energy use , wireless , 3g mimo , electronic engineering , telecommunications , computer network , engineering , electrical engineering , channel (broadcasting)
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.