11 papers
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…
Physical Layer Deception as a Stackelberg Game: Strategy Regimes, Equilibrium, and Robust Design
Wenwen Chen, Bin Han, Yao Zhu +3
Physical layer deception (PLD) combines physical layer security (PLS) with deception: the transmitter actively misleads the eavesdropper with falsified information. We model the tr…
On Signal Peak Power Constraint of Over-the-Air Federated Learning
Lorenz Bielefeld, Paul Zheng, Oner Hanay +3
Federated learning (FL) has been considered a promising privacy preserving distributed edge learning framework. Over-the-air computation (AirComp) leveraging analog transmission en…
Joint Communication Scheduling and Resource Allocation for Distributed Edge Learning: Seamless Integration in Next-Generation Wireless Networks
Paul Zheng, Navid Keshtiarast, Pradyumna Kumar Bishoyi +4
Distributed edge learning (DL) is considered a cornerstone of intelligence enablers, since it allows for collaborative training without the necessity for local clients to share raw…
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…
DMH-HARQ: Reliable and Open Latency-Constrained Wireless Transport Network
Bin Han, Muxia Sun, Yao Zhu +6
The extreme requirements for high reliability and low latency in the upcoming Sixth Generation (6G) wireless networks are challenging the design of multi-hop wireless transport net…