Enhancing Throughput in 5G Networks: A Systematic Study and Optimization Strategies

Authors

  • Sridevi S. Assistant Professor & Research Scholar, School of CSE&ISE, Presidency University, Bangalore
  • Jacob Augustine Professor, School of CSE&ISE, Presidency University, Bangalore

Keywords:

Device-to-Device (D2D), Spectrum efficiency, Quality of service

Abstract

The advent of 5G technology has ushered in a new era of mobile communication, promising ultra-fast internet speeds, low latency, and massive connectivity. As the demand for high quality video streaming, augmented reality, and Internet of Things (IoT) applications continues to surge, researchers have focused on enhancing the throughput of 5G networks to cater    these content rich demands. This research paper,   aimed at improving throughput of 5G networks. To address the challenges posed by the increasing data requirements, researchers have turned to innovative solutions, among which Device-to-Device (D2D) communication has emerged as a promising approach. D2D communication fosters direct interaction between devices, optimizing spectrum efficiency, reducing latency, and mitigating network congestion. Drawing from recent advancements in D2D communication, this paper examines its role in 5G networks and its potential to elevate   throughput to unprecedented levels. Moreover, the study delves into the associated challenges, such as security issues, mobility management, and handoff procedures, aiming to shed light on   the future prospects and areas of improvement. Through a systematic analysis of existing research works, this paper outlines   to improvise the throughput of 5G networks. By leveraging the potential of D2D communication and exploring innovative research directions, 5G networks can unlock their full   capabilities, revolutionizing the way we experience and interact with the ever-expanding digital world.

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Published

25.12.2023

How to Cite

S. , S. ., & Augustine , J. . (2023). Enhancing Throughput in 5G Networks: A Systematic Study and Optimization Strategies. International Journal of Intelligent Systems and Applications in Engineering, 12(1), 683–688. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4165

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Section

Research Article