activity
20202026
most citedAdvantages of NOMA for Multi-User BackCom Networks

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IT2026

Artificial Noise Versus Artificial Noise Elimination: Redefining Scaling Laws of Physical Layer Security

Hong Niu, Tuo Wu, Xia Lei +4

Artificial noise (AN) is a key physical-layer security scheme for wireless communications over multiple-input multiple-output wiretap channels. Recently, artificial noise eliminati…

eess.SP2025

Beam-Squint-Aided Hierarchical Sensing for Integrated Sensing and Communications with Uniform Planar Arrays

Jaehong Jo, Jihun Park, Yo-Seb Jeon +1

In this paper, we propose a novel hierarchical sensing framework for wideband integrated sensing and communications with uniform planar arrays (UPAs). Leveraging the beam-squint ef…

cs.LG2025

Optimizing Model Splitting and Device Task Assignment for Deceptive Signal Assisted Private Multi-hop Split Learning

Dongyu Wei, Xiaoren Xu, Yuchen Liu +2

In this paper, deceptive signal-assisted private split learning is investigated. In our model, several edge devices jointly perform collaborative training, and some eavesdroppers a…

cs.IT2021★ 2 cited

Advantages of NOMA for Multi-User BackCom Networks

Zhiguo Ding, H. Vincent Poor

Ambient backscatter communication (BackCom) is faced with the challenge that a single BackCom device can occupy multiple orthogonal resource blocks unintentionally. As a result, in…

cs.IT2020

A Cramér-Rao Type Bound for Bayesian Risk with Bregman Loss

Alex Dytso, Michael Fauß, H. Vincent Poor

A general class of Bayesian lower bounds when the underlying loss function is a Bregman divergence is demonstrated. This class can be considered as an extension of the Weinstein--W…