Internet of Everything in the 6G Era: Paradigms, Enablers, Potentials and Future Directions

Driss Choukri; Essaid Sabir; Elmahdi Driouch; Abdelkrim Haqiq

cs.ETApr 27, 2026

Internet of Everything in the 6G Era: Paradigms, Enablers, Potentials and Future Directions

Authors: Driss Choukri, Essaid Sabir, Elmahdi Driouch, Abdelkrim Haqiq

Organizations: Computer Networks, Mobility and Modeling Laboratory (IR2M), FST, Hassan I University of Settat, Morocco · Department of Science and Technology, T´ELUQ, University of Quebec, Montreal, H2S 3L4, Canada · Department of Computer Science, University of Quebec at Montreal (UQAM), Montreal, H2L 2C4, Canada

Abstract

The Internet of Everything (IoE) represents an evolution of the Internet of Things (IoT) by integrating people, data, processes, and things into a unified intelligent ecosystem. IoE aims to enhance automation, decision-making, and service efficiency across multiple application domains such as smart cities, healthcare, industry, and next-generation wireless networks. This paper provides a structured overview of the IoE concept, its core components, architectural foundations, enabling technologies, and major research challenges. Finally, open research directions toward 6G-enabled intelligent IoE systems are discussed, with emphasis on scalability, security, privacy, and energy efficiency.

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Empowering Embodied AI in 6G Networks: Architecture, Enablers, and Open Challenges

Junaid Sajid, Sheikh Salman Hassan, Wenshuai Liu, Yan Kyaw Tun+6

Thomas Johann Seebeck Department of Electronics, Tallinn University of Technology (TalTech), 19086 Tallinn, Estonia · Institute for Imaging, Data and Communication (IDCoM), The University of Edinburgh, Edinburgh EH9 3BF, United Kingdom · School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, 214122, China · School of Science and Technology, Hong Kong Metropolitan University, Hong Kong, 999077, China · Department of Electronic Systems, Aalborg University, 9220 Aalborg, Denmark

Embodied artificial intelligence (AI) is emerging as a key driver of the sixth-generation (6G) wireless networks by enabling agents that continuously perceive, communicate, and act in dynamic physical environments. Unlike conventional AI systems that process disembodied data, embodied agents such as robots, autonomous vehicles, and extended reality (XR) devices operate through closed-loop perception-communication-action (PCA) interactions, where communication performance directly affects physical behavior, control stability, and task success. However, existing AI-native wireless architectures remain largely connectivity-centric and are not designed to support task-driven embodied intelligence at large scale. Therefore, we present a holistic framework for embodied AI-native 6G systems, in which communication, sensing, computation, and control are jointly designed as a unified closed-loop infrastructure. We introduce a system-level PCA architecture, discuss key enabling technologies and representative applications, and highlight major open challenges in multimodal intelligence, edge-aware deployment, evaluation, trustworthiness, and practical implementation. Our central argument is that future 6G systems must evolve from intelligent communication platforms into active enablers of embodied physical intelligence.

Intelligence Embodied Perception-Action Loop Autonomous Driving

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Abstract

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