Transmit Antenna Optimization, Power and Energy Efficient Algorithm in Massive MIMO Technology

In today’s Wireless Communication World MMIMO (Massive Multiple Input and Multiple Output) is the sounding word and capable system for high data transmission rates in Wireless Systems and Networks (WSN). Higher Data Transmission Rates are achieved by posing many more antennas at base station, as result the power consumption should be more, and the bandwidth requirement also enhanced. To address this issue, in this article an innovative method of selecting the Transmit Antenna by making active and passive combination a novel method is proposed. This novel method not only optimizes the antenna selection but also provides the mechanism of reducing power utilization and energy consumption. Initially we consider the GSA (Gravitational Search Algorithm) with velocity parameter and proposed an alternative velocity, treated as Enhanced Velocity Gravitational Search Algorithm (EV-GAS). Moreover EV-GASA on conventional models of Greedy Algorithm, Antenna Bee Colony, Particle Swarm Optimization, Fierce fly for antenna optimization, Energy and Power consumption. Obtained outcomes are proved the EV-GAS is the prominent algorithm for high data transmission rates.