1 citations · 2 across the 17 of their papers we have counts for
19 papers
Source Entropy-Guided Adaptive Transmission for Communication-Driven Multi-View Sensing
Mingjie Yang, Guangming Liang, Dongzhu Liu +3
Communication-driven multi-view sensing relies on routine communication transmissions for sensing acquisition, while the resulting sensing data at distributed devices must be uploa…
AirMoE: Realizing Over-the-Air Distributed Mixture-of-Experts Inference at the Wireless Edge
Huiling Yang, Zhanwei Wang, Kaibin Huang
Mixture-of-experts (MoE) architectures enable efficient large language model (LLM) inference at the wireless edge through sparse activation. The wireless distributed MoE (WIDE) arc…
InfoAtlas: A Foundation Model for Zero-Shot Statistical Dependence Estimate
Zhengyang Hu, Yanzhi Chen, Hanxiang Ren +5
Measuring statistical dependency between high-dimensional random variables is a fundamental task in data science and machine learning. Neural mutual information (MI) estimators off…
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…
A Theory of Atomic Beamforming
Mingyao Cui, Qunsong Zeng, Kaibin Huang
Leveraging the quantum advantages of highly excited atoms, Rydberg atomic receivers (RAREs) represent a paradigm shift in microwave detection with extremely high sensitivity and br…
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…
Revisiting Outage for Edge Inference Systems
Zhanwei Wang, Qunsong Zeng, Haotian Zheng +1
One of the key missions of sixth-generation (6G) mobile networks is to deploy large-scale artificial intelligence (AI) models at the network edge to provide remote-inference servic…
Calibration-free Rydberg Atomic Receiver for Sub-MHz Wireless Communications and Sensing
Minze Chen, Tianqi Mao, Wei Xiao +7
The exploitation of sub-MHz (\textless 1 MHz) can be beneficial for a plethora of applications like underwater vehicular communication, subsurface exploration, low-frequency naviga…
Rydberg Atomic Receiver: Next Frontier of Wireless Communications
Mingyao Cui, Qunsong Zeng, Kaibin Huang
Rydberg Atomic REceiver (RARE) is driving a paradigm shift in electromagnetic (EM) wave measurement by harnessing the electron transition phenomenon of Rydberg atoms. Operating at…
Channel Capacity-Aware Distributed Encoding for Multi-View Sensing and Edge Inference
Mingjie Yang, Guangming Liang, Dongzhu Liu +2
Integrated sensing and communication (ISAC) unifies wireless communication and sensing by sharing spectrum and hardware, which often incurs trade-offs between two functions due to…
Towards ubiquitous radio access using nanodiamond based quantum receivers
Qunsong Zeng, Jiahua Zhang, Madhav Gupta +2
The development of sixth-generation (6G) wireless communication systems demands innovative solutions to address challenges in the deployment of a large number of base stations and…
MIMO Precoding for Rydberg Atomic Receivers
Mingyao Cui, Qunsong Zeng, Kaibin Huang
Leveraging the strong atom-light interaction, a Rydberg atomic receiver can measure radio waves with extreme sensitivity. Existing research primarily focuses on improving the signa…
Ice-Filling: Near-Optimal Channel Estimation for Dense Array Systems
Mingyao Cui, Zijian Zhang, Linglong Dai +1
By deploying a large number of antennas with sub-half-wavelength spacing in a compact space, dense array systems (DASs) can fully unleash the multiplexing and diversity gains of li…
Towards Atomic MIMO Receivers
Mingyao Cui, Qunsong Zeng, Kaibin Huang
The advancement of Rydberg atoms in quantum sensing is driving a paradigm shift from classical receivers to atomic receivers. Capitalizing on the extreme sensitivity of Rydberg ato…
InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization
Zhengyang Hu, Song Kang, Qunsong Zeng +2
Estimating mutual correlations between random variables or data streams is essential for intelligent behavior and decision-making. As a fundamental quantity for measuring statistic…