3.3k citations · 6k across the 65 of their papers we have counts for
70 papers
RL-Loop: Reinforcement Learning-Driven Real-Time 5G Slice Control for Connected and Autonomous Mobility Services
Lara Tarkh, Ali Chouman, Hanan Lutfiyya +1
Smart and connected mobility systems rely on 5G edge infrastructure to support real-time communication, control, and service differentiation. Achieving this requires adaptive resou…
When Intelligence Overloads Infrastructure: A Forecast Model for AI-Driven Bottlenecks
Gamal Refai-Ahmed, Mallik Tatipamula, Victor Zhirnov +2
The exponential growth of AI agents and connected devices fundamentally transforms the structure and capacity demands of global digital infrastructure. This paper introduces a unif…
TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving
Hossein Hassani, Soodeh Nikan, Abdallah Shami
Vision Language Models (VLMs) employed for visual question-answering (VQA) in autonomous driving often require substantial computational resources that pose a challenge for their d…
Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging Infrastructure
Fatemeh Dehrouyeh, Ibrahim Shaer, Soodeh Nikan +2
With the growing need for real-time processing on IoT devices, optimizing machine learning (ML) models' size, latency, and computational efficiency is essential. This paper investi…
Towards Zero Touch Networks: Cross-Layer Automated Security Solutions for 6G Wireless Networks
Li Yang, Shimaa Naser, Abdallah Shami +3
The transition from 5G to 6G mobile networks necessitates network automation to meet the escalating demands for high data rates, ultra-low latency, and integrated technology. Recen…
Decentralized Semantic Traffic Control in AVs Using RL and DQN for Dynamic Roadblocks
Emanuel Figetakis, Yahuza Bello, Ahmed Refaey +1
Autonomous Vehicles (AVs), furnished with sensors capable of capturing essential vehicle dynamics such as speed, acceleration, and precise location, possess the capacity to execute…