1.2k citations · 4.5k across the 185 of their papers we have counts for
18 papers · 1 filter
A Memory-Efficient Learning Framework for SymbolLevel Precoding with Quantized NN Weights
Abdullahi Mohammad, Christos Masouros, Yiannis Andreopoulos
This paper proposes a memory-efficient deep neural network (DNN) framework-based symbol level precoding (SLP). We focus on a DNN with realistic finite precision weights and adopt a…
Integrated Sensing and Communications for V2I Networks: Dynamic Predictive Beamforming for Extended Vehicle Targets
Zhen Du, Fan Liu, Weijie Yuan +4
We investigate sensing-assisted predictive beamforming schemes for vehicle-to-infrastructure (V2I) communication by exploiting the integrated sensing and communication (ISAC) funct…
Pre-scaling and Codebook Design for Joint Radar and Communication Based on Index Modulation
Shengyang Chen, Aryan Kaushik, Christos Masouros
This paper develops an efficient index modulation (IM) approach for the joint radar-communication (JRC) system based on a multi-carrier multiple-input multiple-output (MIMO) radar.…
An Unsupervised Deep Unfolding Framework for robust Symbol Level Precoding
Abdullahi Mohammad, Christos Masouros, Yiannis Andreopoulos
Symbol Level Precoding (SLP) has attracted significant research interest due to its ability to exploit interference for energy-efficient transmission. This paper proposes an unsupe…
Learning-Based Symbol Level Precoding: A Memory-Efficient Unsupervised Learning Approach
Abdullahi Mohammad, Christos Masouros, Yiannis Andreopoulos
Symbol level precoding (SLP) has been proven to be an effective means of managing the interference in a multiuser downlink transmission and also enhancing the received signal power…
MIMO-OFDM Dual-Functional Radar-Communication Systems: Low-PAPR Waveform Design
Xiaoyan Hu, Christos Masouros, Fan Liu +1
In this paper, we explore a dual-functional radar-communication (DFRC) system for achieving integrated sensing and communications (ISAC). The technique of orthogonal frequency divi…
Physical Layer Anonymous Precoding: The Path to Privacy-Preserving Communications
Zhongxiang Wei, Christos Masouros, H. Vincent Poor +2
Next-generation systems aim to increase both the speed and responsiveness of wireless communications, while supporting compelling applications such as edge and cloud computing, rem…
Integrated Sensing and Communications: Towards Dual-functional Wireless Networks for 6G and Beyond
Fan Liu, Yuanhao Cui, Christos Masouros +4
As the standardization of 5G is being solidified, researchers are speculating what 6G will be. Integrating sensing functionality is emerging as a key feature of the 6G Radio Access…
Towards Multi-Functional 6G Wireless Networks: Integrating Sensing, Communication and Security
Zhongxiang Wei, Fan Liu, Christos Masouros +2
Integrated sensing and communication (ISAC) has recently emerged as a candidate 6G technology, aiming to unify the two key operations of the future network in spectrum/energy/cost…
Secure Dual-Functional Radar-Communication Transmission: Exploiting Interference for Resilience Against Target Eavesdropping
Nanchi Su, Fan Liu, Zhongxiang Wei +2
We study security solutions for dual-functional radar communication (DFRC) systems, which detect the radar target and communicate with downlink cellular users in millimeter-wave (m…
Secure Dual-Functional Radar-Communication System via Exploiting Known Interference in the Presence of Clutter
Nanchi Su, Zhongxiang Wei, Christos Masouros
This paper addresses the problem that designing the transmit waveform and receive beamformer aims to maximize the receive radar SINR for secure dual-functional radar-communication…
Rate-Splitting Multiple Access for Joint Radar-Communications with Low-Resolution DACs
Onur Dizdar, Aryan Kaushik, Bruno Clerckx +1
In this paper, we introduce the design of a multi-antenna Joint Radar-Communication (JRC) system with Rate Splitting Multiple Access (RSMA) and low resolution Digital-to-Analog Con…
Hardware Efficient Joint Radar-Communications with Hybrid Precoding and RF Chain Optimization
Aryan Kaushik, Christos Masouros, Fan Liu
In this paper, we aim to achieve energy efficient design with minimum hardware requirement for hybrid precoding, which enables a large number of antennas with minimal number of RF…
An Unsupervised Learning-Based Approach for Symbol-Level-Precoding
Abdullahi Mohammad, Christos Masouros, Yiannis Andreopoulos
This paper proposes an unsupervised learning-based precoding framework that trains deep neural networks (DNNs) with no target labels by unfolding an interior point method (IPM) pro…
An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing
J. Andrew Zhang, Fan Liu, Christos Masouros +4
Joint communication and radar sensing (JCR) represents an emerging research field aiming to integrate the above two functionalities into a single system, sharing a majority of hard…
Reconfigurable Intelligent Surface Aided Mobile Edge Computing: From Optimization-Based to Location-Only Learning-Based Solutions
Xiaoyan Hu, Christos Masouros, Kai-Kit Wong
In this paper, we explore optimization-based and data-driven solutions in a reconfigurable intelligent surface (RIS)-aided multi-user mobile edge computing (MEC) system, where the…
Cramér-Rao Bound Optimization for Joint Radar-Communication Design
Fan Liu, Ya-Feng Liu, Ang Li +2
In this paper, we propose multi-input multi-output (MIMO) beamforming designs towards joint radar sensing and multi-user communications. We employ the Cramér-Rao bound (CRB) as a p…
Learning to Select for MIMO Radar based on Hybrid Analog-Digital Beamforming
Zhaoyi Xu, Fan Liu, Konstantinos Diamantaras +2
In this paper, we propose an energy-efficient radar beampattern design framework for a Millimeter Wave (mmWave) massive multi-input multi-output (mMIMO) system, equipped with a hyb…