81 citations · 148 across the 9 of their papers we have counts for
9 papers
Semantic Communications for Vehicle-Based Mission-Critical Services: Challenges and Solutions
Hui Zhou, Jiaying Guo, Marios Aristodemou +5
As mission-critical (MC) services such as Unmanned Aerial Vehicles (UAVs) based emergency communication and Internet of Vehicles (IoVs) enabled autonomous driving emerge, the tradi…
DVS-RG: Differential Variable Speed Limits Control using Deep Reinforcement Learning with Graph State Representation
Jingwen Yang, Ping Wang, Fatemeh Golpayegani +1
Variable speed limit (VSL) control is an established yet challenging problem to improve freeway traffic mobility and alleviate bottlenecks by customizing speed limits at proper loc…
AVARS -- Alleviating Unexpected Urban Road Traffic Congestion using UAVs
Jiaying Guo, Michael R. Jones, Soufiene Djahel +1
Reducing unexpected urban traffic congestion caused by en-route events (e.g., road closures, car crashes, etc.) often requires fast and accurate reactions to choose the best-fit tr…
A Survey on Privacy of Personal and Non-Personal Data in B5G/6G Networks
Chamara Sandeepa, Bartlomiej Siniarski, Nicolas Kourtellis +2
The upcoming Beyond 5G (B5G) and 6G networks are expected to provide enhanced capabilities such as ultra-high data rates, dense connectivity, and high scalability. It opens many po…
A Survey on XAI for 5G and Beyond Security: Technical Aspects, Challenges and Research Directions
Thulitha Senevirathna, Vinh Hoa La, Samuel Marchal +3
With the advent of 5G commercialization, the need for more reliable, faster, and intelligent telecommunication systems is envisaged for the next generation beyond 5G (B5G) radio ac…
A Survey on Privacy for B5G/6G: New Privacy Challenges, and Research Directions
Chamara Sandeepa, Bartlomiej Siniarski, Nicolas Kourtellis +2
Massive developments in mobile wireless telecommunication networks have been made during the last few decades. At present, mobile users are getting familiar with the latest 5G netw…
CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles using Deep Reinforcement Learning
Jiaying Guo, Long Cheng, Shen Wang
The target of reducing travel time only is insufficient to support the development of future smart transportation systems. To align with the United Nations Sustainable Development…
Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges
Shen Wang, M. Atif Qureshi, Luis Miralles-Pechuán +3
When 5G began its commercialisation journey around 2020, the discussion on the vision of 6G also surfaced. Researchers expect 6G to have higher bandwidth, coverage, reliability, en…
BusTime: Which is the Right Prediction Model for My Bus Arrival Time?
Dairui Liu, Jingxiang Sun, Shen Wang
With the rise of big data technologies, many smart transportation applications have been rapidly developed in recent years including bus arrival time predictions. This type of appl…