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  • underwater wireless coms

    Underwater wireless networks are emerging as a critical infrastructure for ocean monitoring, resource exploration, and autonomous maritime operations, yet they face severe attenuation, multipath, and bandwidth limitations. Edited by Shahid Mumtaz, Anwer Al-Dulaimi, Muhammad Ikram Ashraf, Burak Kantarci, Jiajie Xu, & Sravani Kurma,

    Open for submissions
  • Lightweight eAI

    As IIoT systems scale, optimizing AI energy use at the edge is essential for sustainable, reliable performance. This special issue focuses on Lightweight AI deployed on IIoT devices, examining the synergy between model‑compression techniques and wireless communications. Edited by Megumi Kaneko, Olivier Berder, Robin Gerzaguet, Julien Weber, & Kenichi Kawamura

    Open for submissions
  • Drones hovering the silhouette of a city

    By combining learning‑based methods with vehicular networking and edge computing, IoV addresses high mobility, dynamic environments, and strict safety and latency requirements, underpinning next‑generation intelligent transport and 6G vehicular networks. Edited by Lei Lei, Yi Ma, Weihua Zhuang, Ahmed Refaey Hussein, Jie Mei, & Hou Lu

    Open for submissions
  • Finger

    This collection emphasizes next-generation communication and networking paradigms that transcend traditional bit-level transmission, advancing toward task-oriented, predictive, adaptive, and secure systems empowered by GenAI and ML technologies. De Mi, Ziwei Wan, Zhen Gao, Dusit Niyato, Yue Wang, & Sami Muhaidat

    Open for submissions

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  • Future communication networks are expected to achieve deep integration of communication, sensing, and computation, forming a tightly coupled and autonomously operating infrastructure system. However, current reliance on centralized control, static design, and human intervention continues to constrain the multidimensional evolution of network functions and applications, limiting adaptability and resilience in large-scale, layered, and complex environments. To address these challenges, this paper proposes a nature-inspired architectural framework that leverages digital twin technology to organize connected devices at the edge infrastructure into functional digital populations, while enabling the emergence of an evolvable digital ecosystem through multi-population integration at the cloud. We believe that this framework, which combines engineering methodologies with sociotechnical insights, lays the theoretical foundation for building next-generation communication networks with dynamic coordination, distributed decision-making, continuous adaptation, and evolutionary capabilities.

    • Gaosheng Zhao
    • Dong In Kim
    CommentOpen Access

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Network and technology connection concept with city background

Spatial Intelligence for Wireless Ecosystems: From Perception to Decision Making

This topic introduces an AI‑driven framework for sensing, localization, and modeling that converts signals, mobility data, and digital twins into decisions for 6G and beyond. It focuses on real‑time reasoning in dynamic scenarios like smart cities, enabling adaptive resource use, network planning, and autonomous optimization. Key interests include foundation models, generative world models, and integrated sensing‑communication for intelligent network management.
Collection
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