Towards 6G Internet of Things: Recent Advances, Use Cases, and Open Challenges

TL;DR

This paper reviews recent advances and future challenges in 6G wireless networks, emphasizing new technologies, AI integration, and use cases to support massive data-driven applications beyond 5G capabilities.

Contribution

It provides a comprehensive overview of 6G research trends, enabling technologies, and open challenges, highlighting the evolution from 1G to 6G and potential future directions.

Findings

6G aims to surpass 5G in supporting IoE and smart applications.

Emerging technologies include THz and quantum communications.

AI integration is crucial for complex network optimization.

Abstract

Smart services based on the Internet of Everything (IoE) are gaining considerable popularity due to the ever-increasing demands of wireless networks. This demands the appraisal of the wireless networks with enhanced properties as next-generation communication systems. Although 5G networks show great potential to support numerous IoE based services, it is not adequate to meet the complete requirements of the new smart applications. Therefore, there is an increased demand for envisioning the 6G wireless communication systems to overcome the major limitations in the existing 5G networks. Moreover, incorporating artificial intelligence in 6G will provide solutions for very complex problems relevant to network optimization. Furthermore, to add further value to the future 6G networks, researchers are investigating new technologies, such as THz and quantum communications. The requirements of future 6G wireless communications demand to support massive data-driven applications and the increasing number of users. This paper presents recent advances in the 6G wireless networks, including the evolution from 1G to 5G communications, the research trends for 6G, enabling technologies, and state-of-the-art 6G projects.