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20232026
most citedFedAQ: Communication-Efficient Federated Edge Learning via Joint Uplink and Downlink Adaptive Quantization

2 citations · 5 across the 13 of their papers we have counts for

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cs.IT2026

Sensing Mutual Information for Communication Signal with Deterministic Pilots and Random Data Payloads

Lei Xie, Hengtao He, Jun Tong +2

The recent emergence of the integrated sensing and communication (ISAC) framework has sparked significant interest in quantifying the sensing capabilities inherent in communication…

cs.IT2025

Bistatic Target Detection by Exploiting Both Deterministic Pilots and Unknown Random Data Payloads

Lei Xie, Fan Liu, Shenghui Song +1

Integrated sensing and communication (ISAC) plays a crucial role in 6G, enabling innovative applications such as drone surveillance, urban air mobility, and low-altitude logistics.…

cs.IT2024

Energy-Efficient Channel Decoding for Wireless Federated Learning: Convergence Analysis and Adaptive Design

Linping Qu, Yuyi Mao, Shenghui Song +1

One of the most critical challenges for deploying distributed learning solutions, such as federated learning (FL), in wireless networks is the limited battery capacity of mobile cl…

cs.IT2024★ 2 cited

Sensing Mutual Information with Random Signals in Gaussian Channels: Bridging Sensing and Communication Metrics

Lei Xie, Fan Liu, Jiajin Luo +1

Sensing performance is typically evaluated by classical radar metrics, such as Cramer-Rao bound and signal-to-clutter-plus-noise ratio. The recent development of the integrated sen…

cs.IT2023

Sensing Mutual Information with Random Signals in Gaussian Channels

Lei Xie, Fan Liu, Zhanyuan Xie +2

Sensing performance is typically evaluated by classical metrics, such as Cramer-Rao bound and signal-to-clutter-plus-noise ratio. The recent development of the integrated sensing a…