Systems
- Bridging the reality gap in drone swarm development through mixed reality
- Multidrone systems: More than the sum of the parts
- Drone networks: Communications, coordination, and sensing
- Communication and coordination for drone networks
- An autonomous multi-UAV system for search and rescue
- Application-driven design of aerial communication networks
- Collaborative microdrones: applications and research challenges
Wireless Connectivity
- A classifier for aerial devices in 5G networks
- Interference by drones to 5G ground users: A simulation study
- Experiments on drone-to-drone communication with Wi-Fi, LTE-A, and 5G
- Video quality and latency for UAV teleoperation over LTE: A study with ns3
- Edge computing in 5G for drone navigation: What to offload?
- First experiments with a 5G-connected drone
- A performance evaluation tool for drone communications in 4G cellular networks
- An experimental evaluation of LTE-A throughput for drones
- Handover challenges for cellular-connected drones
- Live multicast video streaming from drones: an experimental study
- Application-layer rate-adaptive multicast video streaming over 802.11 …
- Experimental analysis of multipoint-to-point UAV communications with IEEE 802.11n and 802.11ac
- Experimental performance analysis of two-hop aerial 802.11 networks
- Achieving air-ground communications in 802.11 networks with three-dimensional aerial mobility
- Channel measurements over 802.11a-based UAV-to-ground links
Path Planning and Swarm Formation
- Sandsbots: Robots that sync and swarm
- Multi-objective drone path planning for search and rescue with quality-of-service requirements
- Interference management for cellular-connected UAVs: a deep reinforcement learning approach
- Drone delivery systems: Job assignment and dimensioning
- Deep reinforcement learning for interference-aware path planning of cellular connected UAVs
- Multi-objective UAV path planning for search and rescue
- Job selection in a network of UAVs for delivery of goods
- On path planning strategies for networked unmanned aerial vehicles
- A discrete stochastic process for coverage analysis of autonomous UAV networks
- Area coverage with unmanned vehicles: a belief-based approach