Open Access

ARTICLE

Green5G: Enhancing Capacity and Coverage in Device-to-Device Communication

Abdul Rehman Javed^1,*, Rabia Abid², Bakhtawar Aslam², Hafiza Ammara Khalid², Mohammad Zubair Khan³, Omar H. Alhazmi³, Muhammad Rizwan²

1 Department of Cyber Security, Air University, Islamabad, Pakistan
2 Department of Computer Science, Kinnaird College for Women, Lahore, 54000, Pakistan.
3 Department of Computer Science, College of Computer Science and Engineering, Taibah University, Madinah, Saudi Arabia

* Corresponding Author: Abdul Rehman Javed. Email:

(This article belongs to the Special Issue: Green IoT Networks using Machine Learning, Deep Learning Models)

Computers, Materials & Continua 2021, 67(2), 1933-1950. https://doi.org/10.32604/cmc.2021.015272

Received 13 November 2020; Accepted 12 December 2020; Issue published 05 February 2021

Abstract

With the popularity of green computing and the huge usage of networks, there is an acute need for expansion of the 5G network. 5G is used where energy efficiency is the highest priority, and it can play a pinnacle role in helping every industry to hit sustainability. While in the 5G network, conventional performance guides, such as network capacity and coverage are still major issues and need improvements. Device to Device communication (D2D) communication technology plays an important role to improve the capacity and coverage of 5G technology using different techniques. The issue of energy utilization in the IoT based system is a significant exploration center. Energy optimization in D2D communication is an important point. We need to resolve this issue for increasing system performance. Green IoT speaks to the issue of lessening energy utilization of IoT gadgets which accomplishes a supportable climate for IoT systems. In this paper, we improve the capacity and coverage of 5G technology using Multiple Inputs Multiple Outputs (MU-MIMO). MU-MIMO increases the capacity of 5G in D2D communication. We also present all the problems faced by 5G technology and proposed architecture to enhance system performance.

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