Thursday, 13 June
Time: 8:30 - 17:30
Location: Director's Row I/Lobby Level
Each paper allows for a 16-minute presentation, followed by a 5-minute Q&A.
Morning Session 1: Advanced Modeling and Simulation Techniques in Aerial Networks;
Time: 8:30 am-10:15 am; Chair: Xiang Sun
- Welcome and Introduction (5 min)
- Keynote speaker (1 hour): Prof. Ismail Guvenc, North Carolina State University.
- Title: AERPAW and Its Digital Twin for Supporting AI Research with Autonomous Vehicle Networks
- Abstract: This talk will first overview the NSF Aerial Experimentation and Research Platform on Advanced Wireless (AERPAW), an outdoor infrastructure supporting research and experimentation with software-defined radios and unmanned aerial vehicles (UAV). We will discuss the significance of AERPAW's digital twin to support remote development and testing of artificial intelligence (AI) aided solutions for UAV trajectory optimization and wireless parameter adaptation. We will provide various research examples conducted over the NSF AERPAW platform, including 3D spectrum measurements, and sharing, propagation modeling, wireless localization, and Kriging-based spectrum interpolation.
- Biography: Ismail Guvenc is a Professor at the Department of Electrical and Computer Engineering at NC State University. His recent research interests include 5G/6G wireless networks, digital twins, UAV communications, and millimeter/terahertz wireless systems. He has published nearly 400 conference/journal papers and book chapters, several standardization contributions, four books, and over 30 U.S. patents. Dr. Guvenc is the PI and the director for the NSF AERPAW project and a site director for the NSF BWAC I/UCRC center. He is an IEEE Fellow, a senior member of the National Academy of Inventors, and recipient of several awards, including NC State COE Alcoa Distinguished Engineering Research Award (2023), NC State Faculty Scholar Award (2021), R. Ray Bennett Faculty Fellow Award (2019), FIU COE Faculty Research Award (2016), NSF CAREER Award (2015), Ralph E. Powe Junior Faculty Award (2014), and USF Outstanding Dissertation Award (2006).
- Paper 1: 1570995855 Aerial-DRaGon: Machine Learning-based Channel Modeling for Airspace Communication Networks
- Paper 2: 1570990323 Downlink-Uplink Symmetry in Mobile Battery-Free Retro-Reflective VLC: Enabling Sensing-Assisted Communications
Morning Session 2: Advanced Federated Learning and Cross-Layer Optimization in UAV Networks
Time: 10:45 am-12:30 pm; Chair: Xiang Sun
- Paper 1: 1570989607 Energy-Efficient Federated Knowledge Distillation Learning in Internet of Drones
- Paper 2: 1570994673 Federated Learning Model Aggregation in Heterogenous Aerial and Space Networks
- Paper 3: 1570996184 Orchestrating UAVs for Prioritized Data Harvesting: A Cross-Layer Optimization Perspective
- Paper 4: 1570995990 Cross-layer Topology Control Mechanism for FSO-based UAV Relay Networks
- Paper 5: 1570989952 Flexible FSO/RF Aerial Topology Reconstruction for High Network Throughput in Dynamic Atmosphere Condition
Afternoon Session 1: Cutting edge Techniques in UAV Communication and Cooperative Network Optimization
Time: 1:30 pm-3:15 pm; Chair: Xiang Sun
- Paper 1: 1570989618 Joint Channel Estimation and Data Detection for Time-Varying MIMO Channels in UAV Networks
- Paper 2: 1570989772 Codebook Design for Air-to-Air Communication Systems Operating in the UAM Corridor
- Paper 3: 1570988937 Deep Learning based Joint Source-Channel Coding for Computer-generated Holograms
- Paper 4: 1570989283 Joint Trajectory and Resource Optimization for Multi-UAV Cooperative Computation
- Paper 5: 1570989408 Communication Receiver Design for PSK-LFM Joint Sensing and Communication Waveform
Afternoon Session 2: Enhancing Network Efficiency and Extended Reality in Hybrid Communication Systems
Time: 3:45 pm-5:30 pm; Chair: Xiang Sun
- Paper 1:1570996171 Impact of Objective Function on Spectral Efficiency in Integrated HAPS-Terrestrial Networks
- Paper 2: 1570996026 Nash Equilibrium-Based Spectrum Pricing and Allocation in Satellite-Terrestrial Network
- Paper 3: 1570989333 A Simulation Study of mmWave 5G-enabled Medical Extended Reality (MXR)
- Paper 4: 1570995730 Can Millimeter-Wave Support Interactive Extended Reality under Rapid Rotational Motion?
