research
∙
07/05/2023
Convergence of Communications, Control, and Machine Learning for Secure and Autonomous Vehicle Navigation
Connected and autonomous vehicles (CAVs) can reduce human errors in traf...
share
research
∙
08/30/2022
Evolutionary Deep Reinforcement Learning for Dynamic Slice Management in O-RAN
The next-generation wireless networks are required to satisfy a variety ...
research
∙
01/25/2022
Variational Autoencoders for Reliability Optimization in Multi-Access Edge Computing Networks
Multi-access edge computing (MEC) is viewed as an integral part of futur...
research
∙
12/26/2021
Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM)
To meet the growing mobility needs in intra-city transportation, the con...
research
∙
11/28/2021
Joint Sensing and Communication for Situational Awareness in Wireless THz Systems
Next-generation wireless systems are rapidly evolving from communication...
research
∙
11/23/2021
Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks
Collaborative deep reinforcement learning (CDRL) algorithms in which mul...
research
∙
03/04/2021
Performance Analysis and Optimization of Uplink Cellular Networks with Flexible Frame Structure
Future wireless cellular networks must support both enhanced mobile broa...
research
∙
02/10/2021
Reinforcement Learning for Optimized Beam Training in Multi-Hop Terahertz Communications
Communication at terahertz (THz) frequency bands is a promising solution...
research
∙
02/05/2021
Federated Learning on the Road: Autonomous Controller Design for Connected and Autonomous Vehicles
A new federated learning (FL) framework enabled by large-scale wireless ...
research
∙
03/10/2020
Reinforcement Learning for Mitigating Intermittent Interference in Terahertz Communication Networks
Emerging wireless services with extremely high data rate requirements, s...
research
∙
02/19/2020
Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms
Unmanned aerial vehicle (UAV) swarms must exploit machine learning (ML) ...
research
∙
08/03/2019
Dependence Control for Reliability Optimization in Vehicular Networks
Vehicular networks will play an important role in enhancing road safety,...
research
∙
05/11/2019
Serverless Edge Computing for Green Oil and Gas Industry
Development of autonomous and self-driving vehicles requires agile and r...
research
∙
05/11/2019
Robust Resource Allocation Using Edge Computing for Vehicle to Infrastructure (V2I) Networks
Development of autonomous and self-driving vehicles requires agile and r...
research
∙
12/04/2018
Federated Echo State Learning for Minimizing Breaks in Presence in Wireless Virtual Reality Networks
In this paper, the problem of enhancing the virtual reality (VR) experie...
research
∙
08/17/2018
Optimized Path Planning for Inspection by Unmanned Aerial Vehicles Swarm with Energy Constraints
Autonomous inspection of large geographical areas is a central requireme...
research
∙
08/17/2018
Ultra Reliable, Low Latency Vehicle-to-Infrastructure Wireless Communications with Edge Computing
Ultra reliable, low latency vehicle-to-infrastructure (V2I) communicatio...
research
∙
04/15/2018
Joint Communication and Control for Wireless Autonomous Vehicular Platoon Systems
Autonomous vehicular platoons will play an important role in improving o...
research
∙
02/11/2018