6 papers
Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms
Tengchan Zeng, Omid Semiari, Mohammad Mozaffari +3
Unmanned aerial vehicle (UAV) swarms must exploit machine learning (ML) in order to execute various tasks ranging from coordinated trajectory planning to cooperative target recogni…
Dependence Control for Reliability Optimization in Vehicular Networks
Tengchan Zeng, Omid Semiari, Walid Saad +1
Vehicular networks will play an important role in enhancing road safety, improving transportation efficiency, and providing seamless Internet service for users on the road. Reaping…
Wireless Communications and Control for Swarms of Cellular-Connected UAVs
Tengchan Zeng, Mohammad Mozaffari, Omid Semiari +3
By using wireless connectivity through cellular base stations (BSs), swarms of unmanned aerial vehicles (UAVs) can provide a plethora of services ranging from delivery of goods to…
Hairy black holes, boson stars and non-minimal coupling to curvature invariants
Y. Brihaye, L. Ducobu
The Einstein-Klein-Gordon Lagrangian is supplemented by a non-minimal coupling of the scalar field to specific geometric invariants : the Gauss-Bonnet term and the Chern-Simons ter…
Joint Communication and Control for Wireless Autonomous Vehicular Platoon Systems
Tengchan Zeng, Omid Semiari, Walid Saad +1
Autonomous vehicular platoons will play an important role in improving on-road safety in tomorrow's smart cities. Vehicles in an autonomous platoon can exploit vehicle-to-vehicle (…
Spatio-Temporal Motifs for Optimized Vehicle-to-Vehicle (V2V) Communications
Tengchan Zeng, Omid Semiari, Walid Saad
Caching popular contents in vehicle-to-vehicle (V2V) communication networks is expected to play an important role in road traffic management, the realization of intelligent transpo…