This paper is published in Volume-7, Issue-5, 2021
Area
Electronics And Communication Engineering
Author
Sweety Sharma
Org/Univ
Baddi University of Emerging Sciences and Technology, Baddi, Himachal Pradesh, India
Pub. Date
05 October, 2021
Paper ID
V7I5-1310
Publisher
Keywords
5th Generation (5G), Massive MIMO, Bacterial foraging optimization (BFO)

Citationsacebook

IEEE
Sweety Sharma. Novel Approach of Energy efficient Massive MIMO Communication by optimized Clustering in 5G, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Sweety Sharma (2021). Novel Approach of Energy efficient Massive MIMO Communication by optimized Clustering in 5G. International Journal of Advance Research, Ideas and Innovations in Technology, 7(5) www.IJARIIT.com.

MLA
Sweety Sharma. "Novel Approach of Energy efficient Massive MIMO Communication by optimized Clustering in 5G." International Journal of Advance Research, Ideas and Innovations in Technology 7.5 (2021). www.IJARIIT.com.

Abstract

In general, network plays a vital role in tranferring the information from one node to other. Various techniques are developing to convey the data efficiently. Additionally, in today’s era; less energy utilization, high throughput and serving numerous users at a time are the essential requirements of wireless communication system. So, these requirements can be fulfilled with the help of Massive Multiple-Input Multiple-Output (MIMO) technology to some extent where in the same time-frequency resources; many users can be served with a Base Station (BS) equipped with very large number of antennas. Hence, it is a favourable technology for next generations of wireless systems such as in 5th generation. To communicate inside the large network, it is divided into clusters in which cluster head to be chosen and energy is optimized to some extent using Bacterium forging optimization technique.