5 citations · 7 across the 6 of their papers we have counts for
6 papers
Case for Vehicle-Edge Collaborative Multi-Sensor Data Fusion for Autonomous Vehicle Teleoperation
Qixin Zhang, Ajay Kumar Gurumadaiah, Wei Ye +2
Teleoperation provides a critical safety fallback when autonomous vehicles (AVs) encounter scenarios that are outside their operational design domain. In practice, however, remote…
Impact of Data Compression on Downstream AI Tasks: A Study using Teleoperated Driving over 5G
Qixin Zhang, Steven Sleder, Xinyue Hu +3
Teleoperation, such as remote driving, is considered as a key use case of 5G and Next-Generation (NextG) networks. In this context, robots, autonomous vehicles, or other autonomous…
Multipath Adaptive Video Streaming with Multiple Description Neural Video Codec over 5G Networks
Xinyue Hu, Ziyan Wu, Jiaxiang Tang +5
5G networks employ multiple radio channels to meet growing demands for bandwidth and high-resolution video streaming for emerging applications. However, existing multipath video sy…
Robust Multiple Description Neural Video Codec with Masked Transformer for Dynamic and Noisy Networks
Xinyue Hu, Wei Ye, Jiaxiang Tang +2
Multiple Description Coding (MDC) is a promising error-resilient source coding method that is particularly suitable for dynamic networks with multiple (yet noisy and unreliable) pa…
A Comprehensive Real-World Evaluation of 5G Improvements over 4G in Low- and Mid-Bands
Muhammad Iqbal Rochman, Wei Ye, Zhi-Li Zhang +1
As discussions around 6G begin, it is important to carefully quantify the spectral efficiency gains actually realized by deployed 5G networks as compared to 4G through various enha…
Mid-Band 5G: A Measurement Study in Europe and US
Rostand A. K. Fezeu, Jason Carpenter, Claudio Fiandrino +5
Fifth Generation (5G) mobile networks mark a significant shift from previous generations of networks. By introducing a flexible design, 5G networks support highly diverse applicati…