Tsinghua Science and Technology

ISSN 1007-0214 e-ISSN 1878-7606 CN 11-3745/N
Editor-in-Chief: Jiaguang SUN
Open Access
Journal Home > Notice List > CFP–Special Issue on Cross-layer and collaborative optimization techniques in Space-Air-Ground-Sea Integrated Networks
Release Time:2023-10-17 Views:833
CFP–Special Issue on Cross-layer and collaborative optimization techniques in Space-Air-Ground-Sea Integrated Networks

In the rapidly evolving landscape of modern communication networks, Space-Air-Ground-Sea Integrated Networks (SAGSIN) have emerged as a transformative paradigm, transcending traditional boundaries and offering unparalleled connectivity possibilities across diverse environments. SAGSIN represents a holistic approach to networking, poised to revolutionize global connectivity by seamlessly integrating satellite, aerial, terrestrial and maritime networks. SAGSIN embodies a complex ecosystem, where each constituent network element plays a distinct role in shaping its visionary capabilities. Satellite networks form the celestial backbone, promising global coverage and bridging remote regions. Space-based networks, including high-altitude communication platforms and self-organizing drone networks, enhance coverage in challenging terrains while providing dynamic adaptability. Ground-based networks cater to the need of densely populated areas, ensuring seamless access to vital services and enriching the SAGSIN ecosystem. Maritime networks, empowered by advanced wireless technologies and satellite advancements, address unique communication needs of the maritime industry.

However, fully realizing the potential of SAGSIN entails addressing a myriad of communication technology challenges which encompass network architecture and infrastructure, heterogeneous resource coordination and optimization, artificial intelligence applications, dynamic QoS demands, security and privacy concerns, adaptability to shifting conditions, cross-layer communication complexity, and the quest for resilience against harsh environments. Additionally, SAGSIN must address the intricacies of scalable data transmission methods, cater to mission-critical applications, seamlessly integrate the Internet of Things (IoT), and optimize connected vehicular networks. Ensuring energy efficiency remains paramount in the face of these multifaceted challenges, reflecting the unique and evolving landscape of SAGSIN communication technology. Since SAGSIN has heterogeneity and different networks have difficulty in mutual adaptation, cross-layer and collaborative optimization techniques can enhance the overall performance, efficiency, and adaptability of integrated networks that span terrestrial, aerial, maritime and satellite domains. These techniques involve breaking down traditional network protocol layers and enabling communication and coordination between different layers of the network stack to achieve specific optimization objectives.

Serving as a scholarly platform, this special issue focuses on the up-to-date theories, methodologies, and application practices of cross-layer optimization techniques in SAGSIN. We hope that scholars can showcase their new and original achievements of cross layer optimization techniques in SAGSIN on this platform. The expected topics include, but are not limited to: 

  • Cross-Layer and Collaborative Resource Allocation in SAGSIN
  • Signal Transmission, Detection, Recognition and Processing in SAGSIN
  • Integrated Communication, Sensing, Computing, and Caching in SAGSIN
  • Semantic Communications in SAGSIN
  • Security and Privacy-Preserving Techniques for SAGSIN
  • Cognitive Radio and Dynamic Spectrum Management in SAGSIN
  • Swarm Intelligence and its Applications for SAGSIN
  • Multi-Modal Sensor Fusion for Enhanced Situational Awareness in SAGSIN
  • AI-Driven Network Performance Optimization for SAGSIN
  • Efficient Communication and Networking Protocols in SAGSIN
  • Resilience Control Strategies for Harsh SAGSIN Conditions
  • Vehicular Networks and Intelligent Transportation Systems for SAGSIN
  • Energy-Efficient Network Design in Resource-Constrained Environments
  • Robustness Assurance in SAGSIN Cross-Layer Optimization
  • Interference Mitigation and Network Performance Enhancements in SAGSIN


Papers submitted to this journal for possible publication must be original and must not be under consideration for publication in any other journals. Prospective authors should submit an electronic copy of their completed manuscript to https://mc03.manuscriptcentral.com/tst with manuscript type as “Cross-layer and collaborative optimization techniques in Space-Air-Ground-Sea Integrated Networks”. Further information on the journal is available at: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5971803.


Paper submission: December 15, 2023


Prof. Bin Lin, Department of Information Science and Technology, Dalian Maritime University, China. Email: binlin@dlmu.edu.cn

Prof. Ping Wang, Department of Electrical Engineering & Computer Science Lassonde School of Engineering, York University, Canada. Email: pingw@yorku.ca

Prof. Fen Hou, Department of ECE, Faculty of Science and Technology, University of Macau, Macao, China. Email: fenhou@um.edu.mo

Prof. Qiang (John) Ye, Department of Electrical and Software Engineering, Schulich School of Engineering, University of Calgary, Canada. Email: qiang.ye@ucalgary.ca