activity
20192022
most citedDeep Learning for Over-the-Air Non-Orthogonal Signal Classification

3 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SP2022

Index Modulation Pattern Design for Non-Orthogonal Multicarrier Signal Waveforms

Yinglin Chen, Tongyang Xu, Izzat Darwazeh

Spectral efficiency improvement is a key focus in most wireless communication systems and achieved by various means such as using large antenna arrays and/or advanced modulation sc…

eess.SP2022

An Experimental Proof of Concept for Integrated Sensing and Communications Waveform Design

Tongyang Xu, Fan Liu, Christos Masouros +1

The integration of sensing and communication (ISAC) functionalities have recently gained significant research interest as a hardware-, power-, spectrum- and cost- efficient solutio…

eess.SP2020

Wavelet Classification for Over-the-Air Non-Orthogonal Waveforms

Tongyang Xu, Izzat Darwazeh

Non-cooperative communications using non-orthogonal multicarrier signals are challenging since self-created inter carrier interference (ICI) exists, which would prevent successful…

eess.SP2020

Non-Orthogonal Waveforms in Secure Communications

Tongyang Xu

This work investigates the possibility of using non-orthogonal multi-carrier waveforms to defend against eavesdropping attacks. The sophisticated detection required for non-orthogo…

eess.SP2019

Design and Prototyping of Hybrid Analogue Digital Multiuser MIMO Beamforming for Non-Orthogonal Signals

Tongyang Xu, Christos Masouros, Izzat Darwazeh

To enable user diversity and multiplexing gains, a fully digital precoding multiple input multiple output (MIMO) architecture is typically applied. However, a large number of radio…

eess.SP20193 cited

Deep Learning for Over-the-Air Non-Orthogonal Signal Classification

Tongyang Xu, Izzat Darwazeh

Non-cooperative communications, where a receiver can automatically distinguish and classify transmitted signal formats prior to detection, are desirable for low-cost and low-latenc…