Demystifying the 5G-Advanced communication paradigm

Title

Demystifying the 5G-Advanced communication paradigm

Creator

Chelliah, Pethuru Raj; Soundarabai, Paulsingh Beaulah

Description

With the massive surge in the increasing number of connected wireless devices, the demand for wireless data bandwidth keeps growing exponentially. Further on, in the beginning, many people were using only one computer. Today everyone has his own computer. But in the days ahead, there will be many digital devices to cogently and cognitively identify and deliver real-time and real-world services to a person. That is the world is tending towards a multi-device communication and computing era. Visualizing and realizing context-aware applications mandate for device computing. That is, devices have to be empowered to be computational, communicative, sensitive, vision-enabled, perceptive, decision-making, intelligently responsive, and action-taking. Leading research analysts and market watchers have forecast that there will be billions of IoT devices and trillions of IoT sensors in the years to unfold. Connecting them to instinctively share their unique capabilities and data with one another as well as with nearby and faraway cloud data platforms demands pioneering and powerful communication capabilities. With this projected growth in mind, the cellular industry looks for advanced wireless communication technologies. to other frequency bands that could possibly be utilized in the development of new 5G wireless technologies. This chapter is dedicated to telling all about the unique capabilities and use cases of 5G Advanced releases (Releases 17 and 18). Let us start with release 17 and then jump into the 18th release. 5G is all set to empower consumers and businesses to realise and use advanced applications and it allows a large number of devices to connect and exchange data faster than ever before. 2025

Source

Advances in Computers;Volume;139;pp.61-88

Date

01-01-2025

Publisher

Academic Press Inc.

Subject

5G Communication; 5G-Advanced Communication; AI-driven Network Optimization; Artificial Intelligence; Deep Learning; Machine Learning

Coverage

Chelliah P.R., Edge AI Division, Reliance Jio Platforms Ltd., Bangalore, India; Soundarabai P.B., Department of Computer Science, Christ University, Bangalore, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISSN: 652458; ISBN: 978-044318923-4;

Format

online

Language

English

Type

Article

Identifier

https://doi.org/10.1016/bs.adcom.2025.03.015

https://www.scopus.com/pages/publications/105001279585?origin=resultslist