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in conjunction with the IEEE International Conference on Communications (ICC)
8-12 June 2025, Montréal, Canada
IMPORTANT DATES
IMPORTANT DATES
Paper submission deadline: Jan 20, 2025 extended to Jan 31, 2025
Notification of acceptance: Mar 10, 2025
Camera-ready papers: Mar 31, 2025
SUBMISSION LINK:
SUBMISSION LINK:
Call for papers
Call for papers
Aerial and space networks (ASNs) refer to various airborne and space assets, such as unmanned aerial systems (UASs), balloons, and low earth orbit satellites, that are interconnected together to establish a high-speed and universal data network. As compared to terrestrial networks, ASNs can potentially offer higher wireless coverage to users, more flexible network configurations to meet various requirements, and less capital costs. Hence, it is promising and has drawn much attention to apply ASNs to connect a massive number of devices, especially in an area, where 1) it is expensive or impossible to deploy a terrestrial network, or 2) a terrestrial network is out of service when, for example, a disaster struck the area.
In addition, NASA recently proposed to build an Advanced Air Mobility ecosystem to make soaring over traffic in air taxis, providing public good missions. Achieving high-speed and reliable ASNs to enable UASs to share information is critical to ensure air traffic safety. Moreover, ASNs can provide not only data communication services but also reliable edge computing capabilities with the assistance of, for example, blockchain technologies. That is, various airborne and space assets are capable of collaboratively processing big data generated by ground users to generate high-level knowledge in real time.
Wanted paper topics (Including, but not limited to)
Wanted paper topics (Including, but not limited to)
Integrated space, aerial and ground networks
Massive MIMO, mm Wave, and terahertz communications, and free space optics for ASNs
Advanced antenna design for ASNs
Channel measurement & modelling for ground-to-space, air-to-space, air-to-air, and space-to-space wireless links
Semantic communications for ASNs, such as: semantic entropy, semantic compression, semantic encoding and decoding, resource management for semantic communications, network protocols for semantic communications, federated learning for semantic communications
Integrated sensing and communications (ISAC) in ASNs
New networking architecture design for ASNs, such as OpenRAN and SDN
Intelligent network orchestration in ASNs, such as 3D aerial node placement/trajectory design, and aerial and space network reconfigurations.
Radio resource management in ASNs
Machine learning assisted task offloading optimization in ASN-based edge computing
Wireless network optimization for ASN-based edge computing
Privacy and security in ASNs and ASN-based edge computing
Workshop Agenda
Workshop Agenda
The workshop is structured with one keynote scheduled for 1 hour, alongside 16 paper presentations. Each paper allows for a 16-minute presentation, followed by a 5-minute Q&A. The workshop will be held in Room 510B.
June 8, 8:30–10:15 AM — Morning Session 1: Edge Intelligence and Communication Optimization (5 Technical Papers)
Paper 1: 1571111762 Edge-Cloud Collaborative Satellite Image Analysis for Efficient Man-Made Structure Recognition
Paper 2: 1571107926 A Dynamic Link Allocation Strategy for Efficient Load Balancing in Multi-Layer Satellite Networks
Paper 3: 1571112299 Dynamic Weight Fusion with Entropy Optimization for Enhanced Distributed Object Detection and Resource Allocation
Paper 4: 1571107353 Optimization of Beam Divergence Angle in Free-Space-Optical Communications with Pointing Error
Paper 5: 1571110589 Multi-Functional RIS Empowered UAV-Aided ISAC Systems
June 8, 10:45–12:30 PM — Morning Session 2: UAV Task Offloading and Federated Learning (5 Technical Papers)
Paper 1: 1571116039 Coordinated UAV Deployment and Task Offloading in UAV-Assisted LEO Satellite Edge Computing Systems via Proximal Policy Optimization
Paper 2: 1571116347 Optimizing Collaborative UAV Networks for Data Efficiency in IoT Ecosystems
Paper 3: 1571116159 Graph Based Deep Reinforcement Learning Aided by Transformers for Multi-Agent Cooperation
Paper 4: 1571116909 Sky of Unlearning (SoUL): Rewiring Federated Machine Unlearning via Selective Pruning
Paper 5: 1571104455 Satellite Beamforming based on Federated Learning
June 8, 1:30 –3:15 PM — Afternoon Session 1: UAV Trajectory Optimization (1 Keynote and 2 Technical Papers)
Keynote speaker: Prof. Mohamed-Slim Alouini, King Abdullah University of Science and Technology
Title: Tapping into the full potential of the Stratosphere
ABSTRACT: High-Altitude Platform Stations (HAPS) are emerging as a key complement to LEO satellite mega-constellations, offering a scalable solution for global connectivity and bridging digital divides where terrestrial and satellite networks fall short. Operating from the stratosphere, HAPS leverages advanced beamforming and free-space optics (FSO) to deliver high-capacity and low-latency communications across diverse geographical areas. This talk explores the technological connectivity advancements driving HAPS by highlighting how intelligent beam management and optical feeder and inter-HAPS links can democratize broadband access and provide also unique solutions for disaster recovery, paving the way for a more connected world.
BIOGRAPHY: Mohamed-Slim Alouini was born in Tunis, Tunisia. He earned his Ph.D. from the California Institute of Technology (Caltech) in 1998 before serving as a faculty member at the University of Minnesota and later at Texas A&M University at Qatar. In 2009, he became a founding faculty member at King Abdullah University of Science and Technology (KAUST), where he is currently the Al-Khawarizmi Distinguished Professor of Electrical and Computer Engineering and the holder of the UNESCO Chair on Education to Connect the Unconnected. Dr. Alouini is a Fellow of the IEEE, OPTICA, and SPIE, and his research interests encompass a wide array of research topics in wireless and satellite communications. He is currently particularly focusing on addressing the technical challenges associated with information and communication technologies (ICT) in underserved regions and is committed to bridging the digital divide by tackling issues related to the uneven distribution, access to, and utilization of ICT in rural, low-income, disaster-prone, and hard-to-reach areas.
Paper 1: 1571111823 Multi-UAV Offloading and Trajectory Optimization in SAGIN with Dynamic Role Switching
Paper 2: 1571111898 Delivery Time Minimization for Cargo UAV with Payload and Endurance Restriction
June 8, 3:45 –5:30 PM — Afternoon Session 2: Advanced Wireless Communication Technologies (4 Technical Papers)
Paper 1: 1571116045 Bridging Simulation and Reality: A 3D Clustering-Based Deep Learning Model for UAV-Based RF Source Localization
Paper 2: 1571115532 Performance Analysis of Orthogonal Time Frequency Space Modulation Scheme in Space Communications
Paper 3: 1571115482 Terahertz vs. Optical for Inter-Satellite Links: A Comparative Analysis of Pointing Errors and System Performance
Paper 4: 1571111784 Spectrum Sensing in UAV-Enabled Cellular Networks
Workshop Chairs
Workshop Chairs
Xiang Sun
Xiang Sun
Dr. Xiang Sun is an assistant professor in the Department of Electrical and Computer Engineering at the University of New Mexico. His research interests include free space optics, wireless networks, the Internet of Things (IoT), edge computing, cyber-physical systems, and multi-robotic systems.
Sudharma K. Jayaweera
Sudharma K. Jayaweera
Dr. Jayaweera is a Professor at the ECE department at the University of New Mexico (UNM) and the Communications and Information Sciences Lab (CISL) Director at UNM. His main research areas are machine learning and wireless and digital communications.
Kamesh Namuduri
Kamesh Namuduri
Dr. Kamesh Namuduri is a Professor of Electrical Engineering and the Director of the Autonomous Systems Laboratory at the University of North Texas (UNT). His research interests are urban air mobility and UAV networks and communications.
Ifana Mahbub
Ifana Mahbub
Dr. Ifana Mahbub is an associate professor in the ECE department at the University of Texas at Dallas. She leads the Integrated Biomedical and Radio Frequency Circuits and Systems Laboratory (iBioRFCASL). Her research interests include energy-efficient integrated circuits and systems design for read-out, wireless communication, and wireless power transfer for various implantable and wearable sensors.
Xueqing Huang
Xueqing Huang
Dr. Xueqing (Summer) Huang is an associate professor of computer science at the New York Institute of Technology. Her main research areas are mobile edge computing, data-driven optimization, and Internet of Things (IoT) applications.
Weiwei Jiang
Weiwei Jiang
Dr. Weiwei Jiang is an assistant professor at the School of Information and Communication Engineering at the Beijing University of Posts and Telecommunications. His main research areas are data analysis, machine learning, and IoT applications.
Jingjing Yao
Jingjing Yao
Dr. Jingjing Yao is an assistant professor in the Department of Computer Science at Texas Tech University. Her research interests include the Internet of Things, Internet of Drones, federated and reinforcement learning, mobile edge computing/caching, and cybersecurity.
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