80 citations · 98 across the 17 of their papers we have counts for
17 papers
RAQ-MIMO: MIMO for Multi-Band Rydberg Atomic Quantum Receiver
Jieao Zhu, Linglong Dai
Rydberg atomic quantum receivers (RAQRs) are capable of receiving multi-band radio-frequency (RF) signals simultaneously, which are expected to break Chu's limit for classical elec…
General Signal Model and Capacity Limit for Rydberg Quantum Information System
Jieao Zhu, Linglong Dai
Rydberg atomic receivers represent a transformative approach to achieving high-sensitivity, broadband, and miniaturized radio frequency (RF) reception. However, existing static sig…
A General DoF and Pattern Analyzing Scheme for Electromagnetic Information Theory
Zhongzhichao Wan, Jieao Zhu, Yongli Yan +1
Electromagnetic information theory (EIT) is one of the emerging topics for 6G communication due to its potential to reveal the performance limit of wireless communication systems.…
Decoding for Punctured Convolutional and Turbo Codes: A Deep Learning Solution for Protocols Compliance
Yongli Yan, Linglong Dai
Neural network-based decoding methods show promise in enhancing error correction performance but face challenges with punctured codes. In particular, existing methods struggle to a…
Spatio-Temporal Electromagnetic Kernel Learning for Channel Prediction
Jinke Li, Jieao Zhu, Linglong Dai
Accurate channel prediction is essential for addressing channel aging caused by user mobility. However, the actual channel variations over time are highly complex in high-mobility…
A physics-based perspective for understanding and utilizing spatial resources of wireless channels
Hui Xu, Jun Wei Wu, Zhen Jie Qi +6
To satisfy the increasing demands for transmission rates of wireless communications, it is necessary to use spatial resources of electromagnetic (EM) waves. In this context, EM inf…
Unified Error Correction Code Transformer with Low Complexity
Yongli Yan, Jieao Zhu, Tianyue Zheng +3
Channel coding is vital for reliable sixth-generation (6G) data transmission, employing diverse error correction codes for various application scenarios. Traditional decoders requi…
High-Efficiency Urban 3D Radio Map Estimation Based on Sparse Measurements
Xinwei Chen, Xiaofeng Zhong, Zijian Zhang +2
Recent widespread applications for unmanned aerial vehicles (UAVs) -- from infrastructure inspection to urban logistics -- have prompted an urgent need for high-accuracy three-dime…
MIMO Capacity Analysis and Channel Estimation for Electromagnetic Information Theory
Jieao Zhu, Vincent Y. F. Tan, Linglong Dai
Electromagnetic information theory (EIT) is an interdisciplinary subject that serves to integrate deterministic electromagnetic theory with stochastic Shannon's information theory.…
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…
Holography inspired self-controlled reconfigurable intelligent surface
Jieao Zhu, Ze Gu, Qian Ma +2
Among various promising candidate technologies for the sixth-generation (6G) wireless communications, recent advances in microwave metasurfaces have sparked a new research area of…
Near-Field Channel Modeling for Electromagnetic Information Theory
Zhongzhichao Wan, Jieao Zhu, Linglong Dai
Electromagnetic information theory (EIT) is one of the emerging topics for 6G communication due to its potential to reveal the performance limit of wireless communication systems.…
Successive Bayesian Reconstructor for FAS Channel Estimation
Zijian Zhang, Jieao Zhu, Linglong Dai +1
Fluid antenna systems (FASs) can reconfigure their locations freely within a spatially continuous space. To keep favorable antenna positions, the channel state information (CSI) ac…
Coded Beam Training
Tianyue Zheng, Jieao Zhu, Qiumo Yu +2
In extremely large-scale multiple input multiple output (XL-MIMO) systems for future sixth-generation (6G) communications, codebook-based beam training stands out as a promising te…
Successive Bayesian Reconstructor for Channel Estimation in Fluid Antenna Systems
Zijian Zhang, Jieao Zhu, Linglong Dai +1
Fluid antenna systems (FASs) can reconfigure their antenna locations freely within a spatially continuous space. To keep favorable antenna positions, the channel state information…
Enhancing Energy Efficiency for Reconfigurable Intelligent Surfaces with Practical Power Models
Zhiyi Li, Jida Zhang, Jieao Zhu +2
Reconfigurable intelligent surfaces (RISs) are widely considered a promising technology for future wireless communication systems. As an important indicator of RIS-assisted communi…
Electromagnetic Information Theory-Based Statistical Channel Model for Improved Channel Estimation
Jieao Zhu, Zhongzhichao Wan, Linglong Dai +1
Electromagnetic information theory (EIT) is an emerging interdisciplinary subject that integrates classical Maxwell electromagnetics and Shannon information theory. The goal of EIT…