The IEEE AESS Innovation Competition on Low-Altitude Wireless Networks (LAWN) is proposed as an annual global competition under the technical coordination of the IEEE AESS TWG on LAWN.
Competetion Tracks
Chair: Roberto Sabatini (AESS VP-TO)
Vice Chair: Trung Q. Duong
Committee Member: Mohamed Slim Alouini, Baha Eddine Youcef BELMEKKI, Xiangrong Wang, Giancarmine Fasano, Weijie Yuan, Maria Sabrina Greco, Braham Himed, Yanbo Huang, Gokhan Inalhan, Jiacheng Wang, Dong In Kim, Andreas Knopp, Fan Liu, Gunes Karabulut Kurt, Shuangyang Li, Sofie Pollin, Jun Wu, Luca Manica.
Secretary: Sasinda C. Prabhashana
Publicity: Mahdi B Mashhadi (Europe), Changyuan Zhao (Asia Pacific), Shuhao Zeng (America).
Competition Tracks
Track A: Student-Led Innovations
All members of the team must be currently enrolled students. At least one team member must be an active IEEE Student Member and IEEE AESS Member. Faculty advisors may be listed as mentors but cannot be the primary contributors.
Track B: Professionall & Advanced R&D ("Open Track")
High Technology Readiness Level (TRL) solutions, rigorous empirical validation, state-of-the-art breakthroughs, and scalable deployment strategies.Open to any individual or team. The team leader must be an active IEEE and IEEE AESS Member.
Technical Scope
A. Network Architectures & Protocols
Flying Ad-Hoc Networks (FANETs) and UAV swarm topologies.
Seamless integration of aerial networks with terrestrial 5G/6G, satellite, and High-Altitude Platform Station (HAPS) systems.
Software-Defined Networking (SDN) and Network Function Virtualization (NFV) for dynamic airspace management.
Novel routing protocols and delay-tolerant networking for disconnected or sparse aerial environments.
B. Physical Layer, Antennas & Propagation
Air-to-Ground (A2G) and Air-to-Air (A2A) channel modeling in 3D, high- mobility, and urban environments.
Advanced modulation and waveform design (e.g., OTFS, OFDM) to combat severe Doppler shifts and multipath fading.
Aerial deployment of Massive MIMO, mmWave, Terahertz (THz) communications, and Reconfigurable Intelligent Surfaces (RIS).
Lightweight, conformal, and energy-efficient antenna designs for UAVs and eVTOLs.
C. Integrated Sensing, Navigation & Control
Integrated Sensing and Communications (ISAC) for autonomous UAV operations and collision avoidance.
Centimeter-level positioning and navigation in GNSS-denied or degraded environments.
Joint communication and trajectory optimization for automated command- and-control (C2).
D. Security, Privacy & Resilience
Physical layer security and anti-jamming techniques for resilient C2 links.
Aerospace cyber-physical security, intrusion detection, and secure identity management for uncrewed traffic management (UTM)
Privacy-preserving communication protocols for data-gathering drones.
E. Edge Computing & AI/ML Interventions
Multi-Access Edge Computing (MEC) deployed on UAVs or low-altitude platforms.
Distributed AI, federated learning, and machine learning models for dynamic spectrum sharing and resource allocation.
Energy-efficient operations and SWaP (Size, Weight, and Power) constrained network intelligence.
F. Emerging Applications & Operations
Communication solutions explicitly tailored for Urban Air Mobility (UAM), automated logistics, and flying taxis.
Mission-critical LAWN deployments for disaster response, search and rescue, and remote Earth observation.
Regulatory compliance, spectrum coexistence, and standardization frameworks (e.g., IEEE, 3GPP) for low-altitude operations.
Submission Requirements
All teams must submit a complete project package via the competition portal:
Main report: 3000 words in IEEE two-column format
One extra page for references
Optional but recommended:
a. Video: up to 5 minutes
b. Appendix for hardware photos, code, or extended experimental setup
Evaluation Criteria
All submissions will be evaluated by a dedicated TPC using a standardized 100-point scoring framework. The criteria are designed to ensure a balanced assessment of scientific quality, practical relevance, and broader impact in the context of LAWN.
Technical Rigor and Innovation (30 points)
Practicality and Feasibility (20 points)
Societal and Industrial Impact (10 points)
Quality and Credibility of Results (15 points)
Presentation and Clarity (10 points)
Reproducibility, Openness, and Demonstration Quality (15 points)
Each submission will be evaluated by at least two independent reviewers without conflict of interest (CoI). The TPC will form an award panel to decide the finalist.
Prizes and Recognition
Track A: Student-Led Innovations
Winner: Cash prize and Certificate
Honorary Mentions
Track B: Professional & Advanced R&D
1st Place: Cash prize and Certificate
2nd Place: Cash prize and Certificate
Honorary Mentions
Special Recognitions
Best Societal Impact
Best Open Dataset/Open Source Contribution
Industry Choice Award