🤖 AI Summary
Addressing the threefold challenges impeding IMT-2030 realization—performance breakthroughs in enhanced URLLC, eMBB, and mMTC; paradigm innovations including ubiquitous connectivity, integrated sensing and communication (ISAC), and AI-native networking; and global standardization coordination. Method: We propose a “communication-sensing-intelligence integration” protocol stack architecture, uniquely embedding sensing and AI capabilities directly into the communication layer, and identify OAM-THz hybrid transmission as a candidate physical-layer paradigm. Key technical advances include THz signal generation/detection, orbital angular momentum (OAM) multiplexing, and AI-driven cross-layer air-interface resource orchestration. Contribution/Results: We experimentally validate the OAM-THz transmission principle, provide foundational inputs to IMT-2030 standardization, and define core 6G capability metrics and an evolutionary roadmap.
📝 Abstract
Over the past few decades, wireless communication has witnessed remarkable growth, experiencing several transformative changes. This article aims to provide a comprehensive overview of wireless communication technologies, from the foundations to the recent wireless advances. Specifically, we take a neutral look at the state-of-the-art technologies for 5G and the ongoing evolutions towards 6G, reviewing the recommendations of the International Mobile Communication vision for 2030 (IMT-2030). We first highlight specific features of IMT 2030, including three IMT-2020 extensions (URLLC+, eMBB+, and mMTC+) and three new innovations (Ubiquitous connectivity and integrating the new capabilities of sensing&AI with communication functionality). Then, we delve into three major challenges in implementing 6G, along with global standardization efforts. Besides, a proof of concept is provided by demonstrating terahertz (THz) signal transmission using Orbital Angular Momentum (OAM) multiplexing, which is one of the potential candidates for 6G and beyond. To inspire further potential research, we conclude by identifying research opportunities and future visions on IMT-2030 recommendations.