Guest Editors
Peiyan Yuan, PhD, Henan Normal University, China
Tarik Taleb, PhD, Ruhr University Bochum, Germany
Chenyang Wang, PhD, Shenzhen University, China
Chuan Sun, PhD, Nanyang Technological University, Singapore
Xiaoqiang Zhu, PhD, Beijing Jiaotong University, China
Xiaoyan Zhao, PhD, Henan Normal University, China
Submission Status: Open | Submission Deadline: 11 June 2025
EURASIP Journal on Wireless Communications and Networking is calling for submissions to our Collection on Integrating Large Models and Edge Sensing in Next Generation Networks. The rapid proliferation of IoT devices has led to an exponential increase in data generation at the network’s edge, necessitating efficient data extraction and utilization. This convergence enhances the capabilities of edge devices to process data locally and make intelligent decisions in real-time, reducing reliance on central servers and minimizing latency. By addressing the computational and energy constraints of edge devices, this integration promises more efficient, secure, and responsive networks. The topic is essential for developing solutions that maintain optimize network performance, paving the way for innovative applications in smart cities, healthcare, and other IoT domains. The special issue on "Integrating Large Models and Edge Sensing in next generation networks" provides a forum that brings together industry and academia, engineers and researchers to discuss up-to-date developments in integrating large models and edge sensing in next generation networks.
The special issue invites submissions of unpublished works on (but not limited to) the following topics:
• Optimization of large models for edge sensing
• Multi-modal edge sensing and data fusion
• energy-efficient optimization for edge sensing applications
• Real-time edge sensing with large models
• Multi-modal data processing at the edge
• Semantic communication integrated with edge sensing
• Distributed training of large models for edge sensing
• Network architecture for large model and edge sensing integration
• Innovative network management for edge-large model deployment
• Deploying large models for edge sensing networking
• Distributed and power-efficient training of large models in edge sensing networks
• The role of semantic communications/large models in emerging 6G applications
• Edge-cloud systems for semantic communication Networks
• Signal processing for integrating semantic communications
• Information-centric and content-centric networks with large models
• Interdisciplinary research for integrating edge sensing/large models
• Information theory for integrating semantic communications, edge sensing and large models
• Personalization of FL with large models in cloud-edge networks
• Overcoming data interoperability challenges using large models in edge sensing
Article publication will be continuously, i.e. articles are published into the special issue one at a time as soon as they are ready.
This Collection supports and amplifies research related to SDG 9: Industry, Innovation & Infrastructure