22 citations · 82 across the 13 of their papers we have counts for
13 papers
Optimizing QoS in HD Map Updates: Cross-Layer Multi-Agent with Hierarchical and Independent Learning
Jeffrey Redondo, Nauman Aslam, Juan Zhang +1
The data collected by autonomous vehicle (AV) sensors such as LiDAR and cameras is crucial for creating high-definition (HD) maps to provide higher accuracy and enable a higher lev…
Multi-agent Assessment with QoS Enhancement for HD Map Updates in a Vehicular Network
Jeffrey Redondo, Nauman Aslam, Juan Zhang +1
Reinforcement Learning (RL) algorithms have been used to address the challenging problems in the offloading process of vehicular ad hoc networks (VANET). More recently, they have b…
Coverage-aware and Reinforcement Learning Using Multi-agent Approach for HD Map QoS in a Realistic Environment
Jeffrey Redondo, Zhenhui Yuan, Nauman Aslam +1
One effective way to optimize the offloading process is by minimizing the transmission time. This is particularly true in a Vehicular Adhoc Network (VANET) where vehicles frequentl…
Enhancement of High-definition Map Update Service Through Coverage-aware and Reinforcement Learning
Jeffrey Redondo, Zhenhui Yuan, Nauman Aslam
High-definition (HD) Map systems will play a pivotal role in advancing autonomous driving to a higher level, thanks to the significant improvement over traditional two-dimensional…
First-principles study of structural disorder, site preference, chemical bonding and transport properties of Mg-doped tetrahedrite
Krzysztof Kapera, Andrzej Kolezynski
Tetrahedrite-based () materials are candidates for good thermoelectric generators due to their intrinsic, very low thermal conductiv…
Towards On-Device AI and Blockchain for 6G enabled Agricultural Supply-chain Management
Muhammad Zawish, Nouman Ashraf, Rafay Iqbal Ansari +4
6G envisions artificial intelligence (AI) powered solutions for enhancing the quality-of-service (QoS) in the network and to ensure optimal utilization of resources. In this work,…
Deep Reinforcement Learning-Based Long-Range Autonomous Valet Parking for Smart Cities
Muhammad Khalid, Liang Wang, Kezhi Wang +3
In this paper, to reduce the congestion rate at the city center and increase the quality of experience (QoE) of each user, the framework of long-range autonomous valet parking (LAV…
EVAGAN: Evasion Generative Adversarial Network for Low Data Regimes
Rizwan Hamid Randhawa, Nauman Aslam, Mohammad Alauthman +1
A myriad of recent literary works has leveraged generative adversarial networks (GANs) to generate unseen evasion samples. The purpose is to annex the generated data with the origi…
Private and Utility Enhanced Recommendations with Local Differential Privacy and Gaussian Mixture Model
Jeyamohan Neera, Xiaomin Chen, Nauman Aslam +2
Recommendation systems rely heavily on users behavioural and preferential data (e.g. ratings, likes) to produce accurate recommendations. However, users experience privacy concerns…
Multi-Agent Deep Reinforcement Learning Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing
Liang Wang, Kezhi Wang, Cunhua Pan +3
An unmanned aerial vehicle (UAV)-aided mobile edge computing (MEC) framework is proposed, where several UAVs having different trajectories fly over the target area and support the…
Joint Trajectory and Passive Beamforming Design for Intelligent Reflecting Surface-Aided UAV Communications: A Deep Reinforcement Learning Approach
Liang Wang, Kezhi Wang, Cunhua Pan +1
In this paper, the intelligent reflecting surface (IRS)-aided unmanned aerial vehicle (UAV) communication system is studied, where the UAV is deployed to serve the user equipment (…
Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-assisted Mobile Edge Computing
Liang Wang, Kezhi Wang, Cunhua Pan +3
In this paper, we consider a platform of flying mobile edge computing (F-MEC), where unmanned aerial vehicles (UAVs) serve as equipment providing computation resource, and they ena…
RL-Based User Association and Resource Allocation for Multi-UAV enabled MEC
Liang Wang, Peiqiu Huang, Kezhi Wang +4
In this paper, multi-unmanned aerial vehicle (UAV) enabled mobile edge computing (MEC), i.e., UAVE is studied, where several UAVs are deployed as flying MEC platform to provide com…