1 citations · 1 across the 5 of their papers we have counts for
10 papers
Continuous Quantum Aperture: Beamforming with a Single-Vapor-Cell Rydberg Receiver
Mingyao Cui, Qunsong Zeng, Minze Chen +6
Beamforming is conventionally understood as a collective property of many discrete antenna elements in both communication and radar fields, which links angular selectivity to array…
Parametric-Sensitivity Aware Retransmission for Efficient AI Downloading
You Zhou, Qunsong Zeng, Kaibin Huang
The edge artificial intelligence (AI) applications in next-generation mobile networks demand efficient AI-model downloading techniques to support real-time, on-device inference. Ho…
AirBreath Sensing: Protecting Over-the-Air Distributed Sensing Against Interference
Zhanwei Wang, Mingyao Cui, Huiling Yang +3
A distinctive function of sixth-generation (6G) networks is the integration of distributed sensing and edge artificial intelligence (AI) to enable intelligent perception of the phy…
Optimal Batch-Size Control for Low-Latency Federated Learning with Device Heterogeneity
Huiling Yang, Zhanwei Wang, Kaibin Huang
Federated learning (FL) has emerged as a popular approach for collaborative machine learning in sixth-generation (6G) networks, primarily due to its privacy-preserving capabilities…
Rydberg Atomic Receivers for Multi-Band Communications and Sensing
Mingyao Cui, Qunsong Zeng, Minze Chen +4
Harnessing multi-level electron transitions, Rydberg Atomic REceivers (RAREs) can detect wireless signals across a wide range of frequency bands, from Megahertz to Terahertz. This…
Realizing Quantum Wireless Sensing Without Extra Reference Sources: Architecture, Algorithm, and Sensitivity Maximization
Mingyao Cui, Qunsong Zeng, Zhanwei Wang +1
Rydberg Atomic REceivers (RAREs) have demonstrated remarkable capabilities for radio-frequency signal measurement, enabling advanced quantum wireless sensing. Existing RARE-based s…