4 papers
Latent Semantic State Estimation for Reliable Swarming of UAVs under Intermittent Connectivity
Paris A. Karakasis, Walid Saad
Cooperative multi-unmanned aerial vehicle (UAV) reconnaissance is often hindered by intermittent air-to-air communications where link dropouts lead to uncoordinated exploration and…
MA-HEAD-Net: Adaptive Rule-Guided Multi-Agent DRL for AoI Minimization in UAV-Assisted Emergency Networks
Yixin Zhang, Zhuohui Yao, Wenchi Cheng +1
In post-disaster scenarios, unmanned aerial vehicles (UAVs) are critical for establishing emergency communication networks. For time-critical rescue missions, information freshness…
Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN
Chenrui Sun, Swarna Bindu Chetty, Gianluca Fontanesi +3
The deployment of unmanned aerial vehicles (UAV) as open radio units (O-RUs) in 6G cellular systems presents a promising opportunity to achieve scalable and adaptive network covera…
Markov Modeling for Licensed and Unlicensed Band Allocation in Underlay and Overlay D2D
Po-Heng Chou, Yen-Ting Liu, Wei-Chang Chen +1
In this paper, a novel analytical model for resource allocation is proposed for a device-to-device (D2D) assisted cellular network. The proposed model can be applied to underlay an…