Machine Intelligence Techniques for Next-Generation Context-Aware Wireless Networks

01/12/2018
by   Tadilo Endeshaw Bogale, et al.
0

The next generation wireless networks (i.e. 5G and beyond), which would be extremely dynamic and complex due to the ultra-dense deployment of heterogeneous networks (HetNets), poses many critical challenges for network planning, operation, management and troubleshooting. At the same time, generation and consumption of wireless data are becoming increasingly distributed with ongoing paradigm shift from people-centric to machine-oriented communications, making the operation of future wireless networks even more complex. In mitigating the complexity of future network operation, new approaches of intelligently utilizing distributed computational resources with improved context-awareness becomes extremely important. In this regard, the emerging fog (edge) computing architecture aiming to distribute computing, storage, control, communication, and networking functions closer to end users, have a great potential for enabling efficient operation of future wireless networks. These promising architectures make the adoption of artificial intelligence (AI) principles which incorporate learning, reasoning and decision-making mechanism, as natural choices for designing a tightly integrated network. Towards this end, this article provides a comprehensive survey on the utilization of AI integrating machine learning, data analytics and natural language processing (NLP) techniques for enhancing the efficiency of wireless network operation. In particular, we provide comprehensive discussion on the utilization of these techniques for efficient data acquisition, knowledge discovery, network planning, operation and management of the next generation wireless networks. A brief case study utilizing the AI techniques for this network has also been provided.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

06/27/2018

Knowledge-Driven Wireless Networks with Artificial Intelligence: Design, Challenges and Opportunities

This paper discusses technology challenges and opportunities to embrace ...
03/08/2021

AI-enabled Future Wireless Networks: Challenges, Opportunities and Open Issues

A plethora of demanding services and use cases mandate a revolutionary s...
11/28/2017

Big Data Analytics and Artificial Intelligence in Next-Generation Wireless Networks

The next-generation wireless networks are evolving into very complex sys...
09/10/2020

Intelligent Ranking for Dynamic Restoration in Next Generation Wireless Networks

Emerging 5G and next generation 6G wireless are likely to involve myriad...
06/03/2020

Menes: Towards a Generic, Fully-Automated Test and Validation Platform for Wireless Networks

A major step in developing robust wireless systems is to test and valida...
10/01/2021

What is Semantic Communication? A View on Conveying Meaning in the Era of Machine Intelligence

In 1940s, Claude Shannon developed the information theory focusing on qu...
01/24/2019

Thirty Years of Machine Learning:The Road to Pareto-Optimal Next-Generation Wireless Networks

Next-generation wireless networks (NGWN) have a substantial potential in...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.