Impact of Artificial Intelligence, Machine Learning, and IoT in 5G Wireless Communications on the Smarter World: A Review

Impact of Artificial Intelligence, Machine Learning, and IoT in 5G Wireless Communications on the Smarter World: A Review

Sumit Kumar, Samta Jain Goyal, Ipseeta Nanda, Rajeev Goyal, Chandra Shekhar Azad
Copyright: © 2024 |Pages: 14
DOI: 10.4018/978-1-6684-9576-6.ch011
OnDemand:
(Individual Chapters)
Available
$37.50
Current Special Offers
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

With the prompt evolution of the internet, the growth of the data rate is increasing day by day. Most of the current technologies, including 5G, provide high data rate services to handle and process those data. For this reason, machine learning came into its role. Machine learning is quite different from the traditional programming paradigm. Machine learning takes a massive, huge amount of data and results to produce such programs or models used for prediction purposes. The key enabling technologies with 5G are IoT and ML, which are used to change the picture of the real world, change their trends, and explore their applications worldwide. This review chapter starts with relating 5G with the opportunities of machine learning, and its techniques to manage these challenges.
Chapter Preview
Top

Introduction

There is the major implementation of the machine learning field is Neural Networks (NN). NN is the best way to show that how machine learning works. In General, NN contains three consecutive layers. One is Input Layer; the Second is the Hidden Layer and the Third Layer is the Output Layer. The main element of NN is artificial neurons. At present, 'the internet of things (IoT) has revolutionized based on sensor and their activities. As per today's conditions till the year 2025, almost all IoT-based devices will be used by many people in their day-to-day life. Cyber-physical and device-to-device communication systems (D2D) are the systems these devices are used with. As per the condition these devices are expected to form a major platform for the 5G network paradigm (Cui et al., 2018; Santos et al., 2020, pp 1-34; Kumar et al., 2017, pp 32-52; Jagannath et al., 2019). The landscape of various industries is expected to change drastically due to some of the IoT techniques. The major three amazing trends in the present scenario in terms of technologies are:-

  • 1).

    The rapid growth of IoT (i.e.), “Internet of Things”.

  • 2).

    The rapid growth of Artificial intelligence (AI)/Machine learning (ML).

  • 3).

    The rapid growth and demand of 5G for communications.

Now a day’s people are transferring manual work to automatic work with smart techniques. Due to adopting new technologies, work has been taken a very little amount of time. This innovation generates new ways for business growth.

Figure 1.

Application areas of IoT

978-1-6684-9576-6.ch011.f01
(Pathak S 2013)
Figure 2.

Architecture of Neural Network helps to learn the concept of Machine Learning (https://medium.com/data-science-365/overview-of-a-neural-networks-learning-process-61690a502fa)

978-1-6684-9576-6.ch011.f02

Artificial Intelligence (AI)

Artificial Intelligence (AI) refers to design the machine as a human being who understands and reacts according to situations or past experiences.AI is a concept used to perform tasks that ordinarily require human intelligence. Many of these artificial intelligence systems are powered by machine learning, some of them are powered by deep learning and some of them are powered by some logic-like programs. A driverless car has several sensors and actuators to drive the car, to find out the path, shortest, safe path to reach onto the destination. So overall we can say that the AI concept uses mathematics, common sense, neuroscience, psychology, sociology, philosophy, biology, etc. All these information in terms of knowledge feeds into a system to create intelligent or smart agents. These agents are known as efficient engines. These engines help in automating repetitive learning, achieve incredible accuracy in comparison to human calculations, adapts through progressive learning algorithms, analyses more and deeper data using neural networks. These intelligent agents adaptively improve their patience level and they should be able to provide much and more deep understanding and information.While the IoT connects “dumb” devices to the internet, artificial intelligence gives them a “brain.” Together, they’re capable of changing the world as we know it. In Post-Event processing, Pattern recognition is the process of recognizing patterns by using a machine learning algorithm (Mamdouh et al., 2018, pp 215-218; Bagaa et al., 2020, pp 1-12; Shafin et al., 2019; S. Patnaik, 2020; Hussain et al., 2020, pp 8-10).

Complete Chapter List

Search this Book:
Reset