内容: Special Issue on Evolution of Networked AI Systems: Trends, Challenges, and Opportunities Submission Date: 2023-12-30 The integration of AI and networking technologies is driving the development of intelligent and autonomous systems that are capable of making decisions and performing tasks in real-time. These systems are critical for a wide range of applications, including 5G networks, IoT, and edge computing. However, designing, implementing, and deploying AI systems in networked environments presents a number of unique challenges. One of the main challenges is ensuring that AI systems can operate effectively in dynamic network environments with varying network conditions, particularly if large-scale changes happen over time. Another requirement is balancing the trade-offs between the computational and communication requirements of AI systems in networked environments. Additionally, there is a need to develop new algorithms and protocols that can effectively utilize the resources of the network to meet the needs of next-generation applications (for example, AR/VR or large language models) while ensuring robustness and security. Finally, networked AI systems will deal with the high-dimensionality and heterogeneity of the data generated by AI systems in networked environments, which requires novel data management and analytics techniques. The goal of this special issue is to invite researchers and practitioners working on the design, implementation, and deployment of AI systems in networked environments. By inviting experts from academia and industry, the special issue aims to foster collaboration and to promote the development of new ideas and research directions in this field. We invite submissions of original research papers, as well as papers describing practical experiences, case studies, and tutorials.------------Key topics include (but are not limited to): Distributed AI algorithms and systems, Edge computing and fog computing for AI, AI-enabled networking architectures and protocols, AI-based network management and control, AI-based enhancement for reconfigurable wireless network design, optimization, and resource allocation, Functional decomposition and placement over RAN and edge for AI, Real-time networking protocols for Edge AI, Theoretical and/or experimental results addressing the predictability of networked AI systems from a computational and communication standpoint, Enhanced intelligent network slicing for edge AI platforms, AI-based network troubleshooting and diagnosis, AI-enabled network security and privacy, Data management, sharing, and sets for AI in networked systems, Real-world deployment and evaluation of AI in networked systems, Digital twin platforms enabled by networked AI systems, Large Langue Models (LLMs) in and for networked AI systems.------------Guest editors:Roberto Morabito, PhDUniversity of Helsinki, Helsinki, Finland(networked systems, distributed AI, edge computing, Internet of Things)Kwang Taik Kim, PhDPurdue University, West Lafayette, Indiana, USA(communication engineering, open RAN architecture, edge platform, large-scale distributed computing)Kyunghan Lee, PhDSeoul National University, Seoul, Korea(Networked Computing, Mobile Machine Learning, Low-Latency Networking, Data/Computing/Offloading)Jiasi Chen, PhDUniversity of Michigan, Ann Arbor, USA(mobile systems, AR/VR, video, streaming, machine learning)

内容: Special Issue on Integrated Ground-Air-Space Wireless Networks for 6G Mobile Submission Date: 2024-02-15 With the deployment of 5G mobile, the research toward 6G wireless has arisen in both industries and academy. Among several potentially disruptive ambitions, 6G wireless is envisioned to provide seamless connectivity for global broadband coverage and computing services. For this purpose, integrated ground-air-space three-dimensional networks (3D networks) that cover satellites, aerial platforms and terrestrial nodes are generally recognized as a promising key component.Though the full concepts are still under development, one common vision is to provide not only wireless connections but also computing services, owing to the fast development of computational capability of ground, aerial and space platforms.Despite many results on LEO satellite and aerial platform communication, integrated networks across space-air-ground impose technical challenges for communication and computing, calling for a rethinking integrated ground-air-space system in communication and computing. There has been substantial research recently, such as on LEO and aerial platform based broadband access, multilayer satellite network-based distributed computing, satellite-assisted sensing and integrated communication, IoT-over-satellite, air IoT etc.This Special Issue will provide a comprehensive collection of the state-of-the-art theory, design, optimization, and applications of 3D networks for communication and computing. Original technical contributions are solicited in the relevant areas including, but not limited to, the following:- Satellite-based distributed machine learning and computing, and satellite-assisted remote sensing and communications- Aerial platforms for computing offloading and cooperative communication- Optimized resource allocation, scheduling of communication and computation, network optimization and routing design- Spectrum management and engineering- Mobility and handover management- Theoretical limits for communications and computing- Error control, modulation and waveform design, and MAC layer design