34 citations · 77 across the 13 of their papers we have counts for
13 papers
SwarmDrive: Semantic V2V Coordination for Latency-Constrained Cooperative Autonomous Driving
Anjie Qiu, Donglin Wang, Zexin Fang +2
Cloud-hosted LLM inference for autonomous driving adds round-trip delay and depends on stable connectivity, while purely local edge models struggle under occlusion. We present Swar…
Towards Energy Impact on AI-Powered 6G IoT Networks: Centralized vs. Decentralized
Anjie Qiu, Donglin Wang, Sanket Partani +2
The emergence of sixth-generation (6G) technologies has introduced new challenges and opportunities for machine learning (ML) applications in Internet of Things (IoT) networks, par…
Improving QoS Prediction in Urban V2X Networks by Leveraging Data from Leading Vehicles and Historical Trends
Sanket Partani, Michael Zentarra, Anthony Kiggundu +1
With the evolution of Vehicle-to-Everything (V2X) technology and increased deployment of 5G networks and edge computing, Predictive Quality of Service (PQoS) is seen as an enabler…
Enabling Mobility-Oriented JCAS in 6G Networks: An Architecture Proposal
Philipp Rosemann, Sanket Partani, Marc Miranda +14
Sensing plays a crucial role in autonomous and assisted vehicular driving, as well as in the operation of autonomous drones. The traditional segregation of communication and onboar…
Investigating the Impact of Variables on Handover Performance in 5G Ultra-Dense Networks
Donglin Wang, Anjie Qiu, Qiuheng Zhou +2
The advent of 5G New Radio (NR) technology has revolutionized the landscape of wireless communication, offering various enhancements such as elevated system capacity, improved spec…
Mitigating Unnecessary Handovers in Ultra-Dense Networks through Machine Learning-based Mobility Prediction
Donglin Wang, Anjie Qiu, Sanket Partani +2
In 5G wireless communication, Intelligent Transportation Systems (ITS) and automobile applications, such as autonomous driving, are widely examined. These applications have strict…