Search Results for author: A. Lee Swindlehurst

Found 38 papers, 2 papers with code

Intelligent Reflecting Surface-Enabled Anti-Detection for Secure Sensing and Communications

no code implementations12 Apr 2024 Beixiong Zheng, Xue Xiong, Tiantian Ma, Derrick Wing Kwan Ng, A. Lee Swindlehurst, Rui Zhang

The ever-increasing reliance on wireless communication and sensing has led to growing concerns over the vulnerability of sensitive information to unauthorized detection and interception.

Integrated Sensing and Communication Under DISCO Physical-Layer Jamming Attacks

no code implementations11 Apr 2024 Huan Huang, Hongliang Zhang, Weidong Mei, Jun Li, Yi Cai, A. Lee Swindlehurst, Zhu Han

Moreover, a theoretical analysis is conducted to quantify the impact of DISCO jamming attacks.

A New Intelligent Reflecting Surface-Aided Electromagnetic Stealth Strategy

no code implementations19 Mar 2024 Xue Xiong, Beixiong Zheng, A. Lee Swindlehurst, Jie Tang, Wen Wu

Electromagnetic wave absorbing material (EWAM) plays an essential role in manufacturing stealth aircraft, which can achieve the electromagnetic stealth (ES) by reducing the strength of the signal reflected back to the radar system.

Feature Allocation for Semantic Communication with Space-Time Importance Awareness

no code implementations26 Jan 2024 Kequan Zhou, Guangyi Zhang, Yunlong Cai, Qiyu Hu, Guanding Yu, A. Lee Swindlehurst

To tackle this challenge, we introduce a framework called Feature Allocation for Semantic Transmission (FAST), which offers adaptability to channel fluctuations across both spatial and temporal domains.

Attribute

Near-Field Communications: A Comprehensive Survey

no code implementations11 Jan 2024 Yuanwei Liu, Chongjun Ouyang, Zhaolin Wang, Jiaqi Xu, Xidong Mu, A. Lee Swindlehurst

This evolution is giving rise to the emergence of near-field communications (NFC) in future wireless systems.

RIS-Aided Interference Cancellation for Joint Device-to-Device and Cellular Communications

no code implementations7 Dec 2023 Ly V. Nguyen, A. Lee Swindlehurst

This paper considers an RIS-aided joint D2D and cellular communication system where the RIS is exploited to cancel interference to the D2D links and maximize the minimum signal-to-interference plus noise (SINR) of the device pairs and cellular users.

Doubly 1-Bit Quantized Massive MIMO

no code implementations4 Dec 2023 Italo Atzeni, Antti Tölli, Duy H. N. Nguyen, A. Lee Swindlehurst

Enabling communications in the (sub-)THz band will call for massive multiple-input multiple-output (MIMO) arrays at either the transmit- or receive-side, or at both.

DISCO Might Not Be Funky: Random Intelligent Reflective Surface Configurations That Attack

no code implementations1 Oct 2023 Huan Huang, Lipeng Dai, Hongliang Zhang, Chongfu Zhang, Zhongxing Tian, Yi Cai, A. Lee Swindlehurst, Zhu Han

Moreover, we outline future research directions and challenges for the DIRS-based FPJ and its anti-jamming precoding to stimulate this line of research and pave the way for practical applications.

Channel Reciprocity Attacks Using Intelligent Surfaces with Non-Diagonal Phase Shifts

no code implementations20 Sep 2023 Haoyu Wang, Zhu Han, A. Lee Swindlehurst

While reconfigurable intelligent surface (RIS) technology has been shown to provide numerous benefits to wireless systems, in the hands of an adversary such technology can also be used to disrupt communication links.

Decision-Directed Hybrid RIS Channel Estimation with Minimal Pilot Overhead

no code implementations20 Sep 2023 Ly V. Nguyen, A. Lee Swindlehurst

We also perform a detailed spectral efficiency analysis for both the pilot-directed and decision-directed frameworks.

Anti-Jamming Precoding Against Disco Intelligent Reflecting Surfaces Based Fully-Passive Jamming Attacks

no code implementations30 Aug 2023 Huan Huang, Lipeng Dai, Hongliang Zhang, Zhongxing Tian, Yi Cai, Chongfu Zhang, A. Lee Swindlehurst, Zhu Han

Numerical results are also presented to evaluate the effectiveness of the proposed anti-jamming precoder against the DIRS-based FPJs and the feasibility of the designed data frame used by the legitimate AP to estimate the statistical characteristics.

An Anti-Jamming Strategy for Disco Intelligent Reflecting Surfaces Based Fully-Passive Jamming Attacks

no code implementations7 Jul 2023 Huan Huang, Hongliang Zhang, Yi Cai, A. Lee Swindlehurst, Zhu Han

Emerging intelligent reflecting surfaces (IRSs) significantly improve system performance, while also pose a huge risk for physical layer security.

Near-Field Beam Management for Extremely Large-Scale Array Communications

no code implementations28 Jun 2023 Changsheng You, Yunpu Zhang, Chenyu Wu, Yong Zeng, Beixiong Zheng, Li Chen, Linglong Dai, A. Lee Swindlehurst

Extremely large-scale arrays (XL-arrays) have emerged as a promising technology to achieve super-high spectral efficiency and spatial resolution in future wireless systems.

Management Scheduling

SCA-Based Beamforming Optimization for IRS-Enabled Secure Integrated Sensing and Communication

no code implementations5 May 2023 Vaibhav Kumar, Marwa Chafii, A. Lee Swindlehurst, Le-Nam Tran, Mark F. Flanagan

Integrated sensing and communication (ISAC) is expected to be offered as a fundamental service in the upcoming sixth-generation (6G) communications standard.

One-Bit Massive MIMO Precoding for Frequency-Selective Fading Channels

no code implementations20 Mar 2023 Ly V. Nguyen, Lu Liu, Nguyen Linh-Trung, A. Lee Swindlehurst

While block-wise processing (BWP) can effectively address the inter-symbol-interference (ISI) in frequency-selective fading channels, its computational complexity and processing delay can be too high for practical implementation.

Disco Intelligent Reflecting Surfaces: Active Channel Aging for Fully-Passive Jamming Attacks

no code implementations1 Feb 2023 Huan Huang, Ying Zhang, Hongliang Zhang, Yi Cai, A. Lee Swindlehurst, Zhu Han

A theoretical analysis of the proposed DIRS-based FPJ that provides an evaluation of the DIRS-based jamming attacks is derived.

Quantization

SNR/CRB-Constrained Joint Beamforming and Reflection Designs for RIS-ISAC Systems

no code implementations26 Jan 2023 Rang Liu, Ming Li, Qian Liu, A. Lee Swindlehurst

Two optimization problems are formulated for maximizing the achievable sum-rate of the multi-user communications under an SNR constraint for target detection or a CRB constraint for parameter estimation, the transmit power budget, and the unit-modulus constraint of the RIS reflection coefficients.

Robust Symbol Level Precoding for Overlay Cognitive Radio Networks

no code implementations20 Jan 2023 Lu Liu, Christos Masouros, A. Lee Swindlehurst

This paper focuses on designing robust symbol-level precoding (SLP) in an overlay cognitive radio (CR) network, where the primary and secondary networks transmit signals concurrently.

Philosophy Quantization

Disentangled Representation Learning for RF Fingerprint Extraction under Unknown Channel Statistics

1 code implementation4 Aug 2022 Renjie Xie, Wei Xu, Jiabao Yu, Aiqun Hu, Derrick Wing Kwan Ng, A. Lee Swindlehurst

Deep learning (DL) applied to a device's radio-frequency fingerprint~(RFF) has attracted significant attention in physical-layer authentication due to its extraordinary classification performance.

Data Augmentation Representation Learning

Integrated Sensing and Communication with Reconfigurable Intelligent Surfaces: Opportunities, Applications, and Future Directions

no code implementations17 Jun 2022 Rang Liu, Ming Li, Honghao Luo, Qian Liu, A. Lee Swindlehurst

Integrated sensing and communication (ISAC) is emerging as a key enabler to address the growing spectrum congestion problem and satisfy increasing demands for ubiquitous sensing and communication.

A Variational Bayesian Perspective on Massive MIMO Detection

no code implementations23 May 2022 Duy H. N. Nguyen, Italo Atzeni, Antti Tölli, A. Lee Swindlehurst

In this paper, we build upon variational Bayes (VB) inference to design low-complexity multiuser detection algorithms for massive MIMO systems.

Leveraging Deep Neural Networks for Massive MIMO Data Detection

no code implementations11 Apr 2022 Ly V. Nguyen, Nhan T. Nguyen, Nghi H. Tran, Markku Juntti, A. Lee Swindlehurst, Duy H. N. Nguyen

Massive multiple-input multiple-output (MIMO) is a key technology for emerging next-generation wireless systems.

Joint Beamforming and Reflection Design for RIS-assisted ISAC Systems

no code implementations1 Mar 2022 Rang Liu, Ming Li, A. Lee Swindlehurst

In this paper, we investigate the potential of employing reconfigurable intelligent surface (RIS) in integrated sensing and communication (ISAC) systems.

Wave-Controlled Metasurface-Based Reconfigurable Intelligent Surfaces

no code implementations2 Feb 2022 Ender Ayanoglu, Filippo Capolino, A. Lee Swindlehurst

Reconfigurable Intelligent Surfaces (RISs) are programmable metasurfaces that can adaptively steer received electromagnetic energy in desired directions by employing controllable phase shifting cells.

An Overview of Signal Processing Techniques for RIS/IRS-aided Wireless Systems

no code implementations11 Dec 2021 Cunhua Pan, Gui Zhou, Kangda Zhi, Sheng Hong, Tuo Wu, Yijin Pan, Hong Ren, Marco Di Renzo, A. Lee Swindlehurst, Rui Zhang, Angela Yingjun Zhang

In the past as well as present wireless communication systems, the wireless propagation environment is regarded as an uncontrollable black box that impairs the received signal quality, and its negative impacts are compensated for by relying on the design of various sophisticated transmission/reception schemes.

Dual-Functional Radar-Communication Waveform Design: A Symbol-Level Precoding Approach

no code implementations11 Aug 2021 Rang Liu, Ming Li, Qian Liu, A. Lee Swindlehurst

In this paper, we consider multi-input multi-output (MIMO) DFRC systems and focus on transmit beamforming designs to provide both radar sensing and multi-user communications.

A Generalizable Model-and-Data Driven Approach for Open-Set RFF Authentication

1 code implementation10 Aug 2021 Renjie Xie, Wei Xu, Yanzhi Chen, Jiabao Yu, Aiqun Hu, Derrick Wing Kwan Ng, A. Lee Swindlehurst

To enable the discrimination of RFF from both known and unknown devices, we propose a new end-to-end deep learning framework for extracting RFFs from raw received signals.

Inductive Bias

Deep Learning for Estimation and Pilot Signal Design in Few-Bit Massive MIMO Systems

no code implementations26 Jul 2021 Ly V. Nguyen, Duy H. N. Nguyen, A. Lee Swindlehurst

In this paper, we propose a deep learning framework for channel estimation, data detection, and pilot signal design to address the nonlinearity in such systems.

Quantization

Channel Estimation for RIS-Aided Multiuser Millimeter-Wave Systems

no code implementations28 Jun 2021 Gui Zhou, Cunhua Pan, Hong Ren, Petar Popovski, A. Lee Swindlehurst

In the first coherence block, we propose a two-phase channel estimation method, in which the cascaded channel of one typical user is estimated in Phase I based on the linear correlation among cascaded paths, while the cascaded channels of other users are estimated in Phase II by utilizing the partial CSI of the common base station (BS)-RIS channel obtained in Phase I.

Machine Learning-based Reconfigurable Intelligent Surface-aided MIMO Systems

no code implementations1 May 2021 Nhan Thanh Nguyen, Ly V. Nguyen, Thien Huynh-The, Duy H. N. Nguyen, A. Lee Swindlehurst, Markku Juntti

Reconfigurable intelligent surface (RIS) technology has recently emerged as a spectral- and cost-efficient approach for wireless communications systems.

BIG-bench Machine Learning

Reconfigurable Intelligent Surfaces for 6G Systems: Principles, Applications, and Research Directions

no code implementations9 Nov 2020 Cunhua Pan, Hong Ren, Kezhi Wang, Jonas Florentin Kolb, Maged Elkashlan, Ming Chen, Marco Di Renzo, Yang Hao, Jiangzhou Wang, A. Lee Swindlehurst, Xiaohu You, Lajos Hanzo

Reconfigurable intelligent surfaces (RISs) or intelligent reflecting surfaces (IRSs), are regarded as one of the most promising and revolutionizing techniques for enhancing the spectrum and/or energy efficiency of wireless systems.

DNN-based Detectors for Massive MIMO Systems with Low-Resolution ADCs

no code implementations5 Nov 2020 Ly V. Nguyen, Duy H. N. Nguyen, A. Lee Swindlehurst

Low-resolution analog-to-digital converters (ADCs) have been considered as a practical and promising solution for reducing cost and power consumption in massive Multiple-Input-Multiple-Output (MIMO) systems.

A Comprehensive Overview on 5G-and-Beyond Networks with UAVs: From Communications to Sensing and Intelligence

no code implementations19 Oct 2020 Qingqing Wu, Jie Xu, Yong Zeng, Derrick Wing Kwan Ng, Naofal Al-Dhahir, Robert Schober, A. Lee Swindlehurst

On the other hand, providing such communication services simultaneously for both UAV and ground users poses new challenges due to the need for ubiquitous 3D signal coverage as well as the strong air-ground network interference.

Linear and Deep Neural Network-based Receivers for Massive MIMO Systems with One-Bit ADCs

no code implementations9 Aug 2020 Ly V. Nguyen, A. Lee Swindlehurst, Duy H. N. Nguyen

Based on the reformulated ML detection problem, we propose a model-driven deep neural network-based (DNN-based) receiver, whose performance is comparable with an existing support vector machine-based receiver, albeit with a much lower computational complexity.

Intelligent Reflecting Surface based Passive Information Transmission: A Symbol-Level Precoding Approach

no code implementations29 Jul 2020 Rang Liu, Ming Li, Qian Liu, A. Lee Swindlehurst, Qingqing Wu

Intelligent reflecting surfaces (IRS) have been proposed as a revolutionary technology owing to its capability of adaptively reconfiguring the propagation environment in a cost-effective and hardware-efficient fashion.

Multiuser Full-Duplex Two-Way Communications via Intelligent Reflecting Surface

no code implementations9 Jun 2020 Zhangjie Peng, Zhenkun Zhang, Cunhua Pan, Li Li, A. Lee Swindlehurst

Low-cost passive intelligent reflecting surfaces (IRSs) have recently been envisioned as a revolutionary technology capable of reconfiguring the wireless propagation environment through carefully tuning reflection elements.

Fairness Vocal Bursts Valence Prediction

Massive MIMO Channel Estimation with Low-Resolution Spatial Sigma-Delta ADCs

no code implementations15 May 2020 Shilpa Rao, Gonzalo Seco-Granados, Hessam Pirzadeh, Josef A. Nossek, A. Lee Swindlehurst

We consider channel estimation for an uplink massive multiple-input multiple-output (MIMO) system where the base station (BS) uses an array with low-resolution (1-2 bit) analog-to-digital converters and a spatial Sigma-Delta ($\Sigma\Delta$) architecture to shape the quantization noise away from users in some angular sector.

Quantization

Cannot find the paper you are looking for? You can Submit a new open access paper.