Advancing Towards 6G: Challenges, Key Technologies, and Applications of the Internet-of-Intelligent-Things

Dequn Kong, Liqiu Ma, Wai Chen, Yang Li, Shujuan You, Shuqiong Zhu, Qi Wang, Xiaotao Li

Abstract:

This paper investigates the critical role of the
Internet-of-Intelligent-Things (IoIT) in propelling the evolution
toward 6G wireless communication technologies. The ensuing
6G era, characterized by augmented bandwidth, transmission
rates, and connection volume, sets the stage for a synergistic
interplay between 6G and IoIT. This synergy is envisioned to
introduce novel capabilities including energy-efficient computing,
endogenous safety and security, ubiquitous intelligence, along
with differentiated and refined services. However, the current
maturity of Artificial Intelligence (AI) and Machine Learning
(ML) technologies is yet to meet the practical application demands of the 6G-IoIT paradigm comprehensively. This paper
delves into the principal enablers and challenges, shedding light
on promising research avenues crucial for the advancement of the
6G-IoIT. Moreover, we propose four prospective use cases: mobile
Extended Reality (XR), human digital twins, smart space, and
Vehicle-to-Everything (V2X) communications, which underscore
the multi-faceted benefits and real-world applicability of the 6GIoIT framework.