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20242026
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cs.IT2026

Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning

Paul Zheng, Yao Zhu, Xiaopeng Yuan +2

In the Internet-of-Things (IoT) era, efficient functionality integration is essential to address the growing demands of communication, computation, and sensing. Signal-level integr…

cs.IT2026

Deep Reinforcement Learning for Cognitive Time-Division Joint SAR and Secure Communications

Mohamed-Amine Lahmeri, Ata Khalili, Yujiao Liu +2

Synthetic aperture radar (SAR) imaging can be exploited to enhance wireless communication performance through high-precision environmental awareness. However, integrating sensing a…

cs.IT2026

Confusions and Erasures of Error-Bounded Block Decoders with Finite Blocklength

Bin Han, Yao Zhu, Rafael F. Schaefer +4

This paper investigates two distinct types of block errors - undetected errors (confusions) and erasures - in additive white Gaussian noise (AWGN) channels with error-bounded block…

cs.IT2025

Physical Layer Deception in OFDM Systems

Wenwen Chen, Bin Han, Yao Zhu +2

As a promising technology, physical layer security (PLS) enhances security by leveraging the physical characteristics of communication channels. However, it commonly takes the legi…

cs.IT2024

Fairness-aware Age-of-Information Minimization in WPT-Assisted Short-Packet Data Collection for mURLLC

Yao Zhu, Xiaopeng Yuan, Yulin Hu +4

The technological landscape is rapidly evolving toward large-scale systems. Networks supporting massive connectivity through numerous Internet of Things (IoT) devices are at the fo…

cs.IT2024

A Semantic Model for Physical Layer Deception

Bin Han, Yao Zhu, Anke Schmeink +2

Physical layer deception (PLD) is a novel security mechanism that combines physical layer security (PLS) with deception technologies to actively defend against eavesdroppers. In th…