3 citations · 6 across the 8 of their papers we have counts for
9 papers
AoI-Driven Hierarchical Learning for Cooperative Resource Sharing in Multi-Operator UAV Networks
Atefeh Hajijamali Arani, Mahyar Shirvanimoghaddam, Abolfazl Mehbodniya +2
Uncrewed aerial vehicle (UAV)-assisted networks provide a versatile paradigm for on-demand connectivity. However, in multi-operator aerial networks (MOANs), the joint optimization…
LAPF: LLM-Agent-Based Path Finder Using the UAVScenes Dataset
Yousef Emami, Mohammadhossein Homaei, Hao Zhou +3
Uncrewed aerial vehicles (UAVs) are increasingly deployed for autonomous navigation in complex outdoor environments, where dynamic conditions and mission requirements require intel…
Large Language Model-Assisted UAV Operations and Communications: A Multifaceted Survey and Tutorial
Yousef Emami, Hao Zhou, Radha Reddy +5
Uncrewed Aerial Vehicles (UAVs) are widely deployed across diverse applications due to their mobility and agility. Recent advances in Large Language Models (LLMs) offer a transform…
AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring
Yousef Emami, Miguel Gutierrez Gaitan, Atefeh Hajijamali Arani +2
Uncrewed aerial vehicles (UAVs) are increasingly deployed for autonomous inspection and sensor data collection in large-scale infrastructure monitoring applications, such as pipeli…
Generative Diffusion Receivers: Achieving Pilot-Efficient MIMO-OFDM Communications
Yuzhi Yang, Omar Alhussein, Atefeh Arani +2
This paper focuses on wireless multiple-input multiple-output (MIMO)-orthogonal frequency division multiplex (OFDM) receivers. Traditional wireless receivers have relied on mathema…
HAPS-UAV-Enabled Heterogeneous Networks: A Deep Reinforcement Learning Approach
Atefeh H. Arani, Peng Hu, Yeying Zhu
The integrated use of non-terrestrial network (NTN) entities such as the high-altitude platform station (HAPS) and low-altitude platform station (LAPS) has become essential element…
UAV-Assisted Space-Air-Ground Integrated Networks: A Technical Review of Recent Learning Algorithms
Atefeh H. Arani, Peng Hu, Yeying Zhu
Recent technological advancements in space, air, and ground components have made possible a new network paradigm called space-air-ground integrated network (SAGIN). Unmanned aerial…
Mobile Cellular-Connected UAVs: Reinforcement Learning for Sky Limits
M. Mahdi Azari, Atefeh Hajijamali Arani, Fernando Rosas
A cellular-connected unmanned aerial vehicle (UAV)faces several key challenges concerning connectivity and energy efficiency. Through a learning-based strategy, we propose a genera…
Learning in the Sky: An Efficient 3D Placement of UAVs
Atefeh Hajijamali Arani, M. Mahdi Azari, William Melek +1
Deployment of unmanned aerial vehicles (UAVs) as aerial base stations can deliver a fast and flexible solution for serving varying traffic demand. In order to adequately benefit of…