most citedSpatio-Temporal Electromagnetic Kernel Learning for Channel Prediction

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.IT2025

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…

eess.SP2025

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…

cs.IT2025

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.…

cs.LG2025

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…

eess.SP20241 cited

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…