Learning-Driven Wireless Communications, towards 6G

TL;DR

This paper explores the challenges, requirements, and potential AI-driven solutions for 6G wireless communications, highlighting new services and research directions beyond 5G's capabilities.

Contribution

It provides a comprehensive overview of 6G's challenges, requirements, and how AI can enable new services, outlining future research directions for 6G development.

Findings

Identification of key 6G challenges and requirements

Discussion of AI's role in 6G innovation

Proposed new services and use-cases for 6G

Abstract

The fifth generation (5G) of wireless communication is in its infancy, and its evolving versions will be launched over the coming years. However, according to exposing the inherent constraints of 5G and the emerging applications and services with stringent requirements e.g. latency, energy/bit, traffic capacity, peak data rate, and reliability, telecom researchers are turning their attention to conceptualize the next generation of wireless communications, i.e. 6G. In this paper, we investigate 6G challenges, requirements, and trends. Furthermore, we discuss how artificial intelligence (AI) techniques can contribute to 6G. Based on the requirements and solutions, we identify some new fascinating services and use-cases of 6G, which can not be supported by 5G appropriately. Moreover, we explain some research directions that lead to the successful conceptualization and implementation of 6G.