4 papers
Statistical Inference-Based Channel Estimation for LD-Driven Visible Light O-OFDM Systems in the Presence of Relative Intensity and Input-Signal-Dependent Shot Noise
Shubham Saxena, Karra Sreeman Reddy, Suraj Srivastava +3
Laser diode (LD)-based luminaires are gaining increasing attention in automotive applications and are expected to extend to residential and commercial environments, creating opport…
Macroscopic Characteristics of Mixed Traffic Flow with Deep Reinforcement Learning Based Automated and Human-Driven Vehicles
Pankaj Kumar, Pranamesh Chakraborty, Subrahmanya Swamy Peruru
Automated Vehicle (AV) control in mixed traffic, where AVs coexist with human-driven vehicles, poses significant challenges in balancing safety, efficiency, comfort, fuel efficienc…
Deep reinforcement learning-based longitudinal control strategy for automated vehicles at signalised intersections
Pankaj Kumar, Aditya Mishra, Pranamesh Chakraborty +1
Developing an autonomous vehicle control strategy for signalised intersections (SI) is one of the challenging tasks due to its inherently complex decision-making process. This stud…
Graph Neural Network based scheduling : Improved throughput under a generalized interference model
S. Ramakrishnan, Jaswanthi Mandalapu, Subrahmanya Swamy Peruru +2
In this work, we propose a Graph Convolutional Neural Networks (GCN) based scheduling algorithm for adhoc networks. In particular, we consider a generalized interference model call…