7 papers
Process-Aware Cross-Layer Adaptation for O-RAN-Enabled Industrial Systems
Elahe Delavari, Junaid Farooq, M. Majid Butt +1
Wireless networks increasingly support closed-loop industrial applications in which sensed data must be transmitted, processed, and converted into an action before physical process…
Temporally Encoded Double DQN for Proactive PRB Allocation in O-RAN Enabled Industrial Networks
Elahe Delavari, Xingqi Wu, Junaid Farooq
Fifth-generation (5G) wireless systems are increasingly adopted in smart manufacturing to support heterogeneous industrial workloads through services such as enhanced Mobile Broadb…
Jamming-Resilient PRB Reservation for Latency-Critical O-RAN Network Slicing
Elahe Delavari, Junaid Farooq
Open radio access network (O-RAN) architectures enable near real-time, software-driven control of network slicing through programmable xApps deployed on the near-real-time RAN Inte…
A Comprehensive Review of Reinforcement Learning for Autonomous Driving in the CARLA Simulator
Elahe Delavari, Feeza Khan Khanzada, Jaerock Kwon
Autonomous-driving research has recently embraced deep Reinforcement Learning (RL) as a promising framework for data-driven decision making, yet a clear picture of how these algori…
Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving
Elahe Delavari, Feeza Khan Khanzada, Jaerock Kwon
Reinforcement Learning (RL) offers a promising framework for autonomous driving by enabling agents to learn control policies through interaction with environments. However, large a…
Perceptual Motor Learning with Active Inference Framework for Robust Lateral Control
Elahe Delavari, John Moore, Junho Hong +1
This paper presents a novel Perceptual Motor Learning (PML) framework integrated with Active Inference (AIF) to enhance lateral control in Highly Automated Vehicles (HAVs). PML, in…