no code implementations • 12 Apr 2024 • Beixiong Zheng, Xue Xiong, Tiantian Ma, Jie Tang, 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.
no code implementations • 11 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.
no code implementations • 19 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.
no code implementations • 26 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.
no code implementations • 11 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.
no code implementations • 7 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.
no code implementations • 4 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.
no code implementations • 1 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.
no code implementations • 20 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.
no code implementations • 20 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.
no code implementations • 30 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.
no code implementations • 7 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.
no code implementations • 28 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.
no code implementations • 5 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.
no code implementations • 20 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.
no code implementations • 1 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.
no code implementations • 26 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.
no code implementations • 20 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.
no code implementations • 15 Aug 2022 • Zhendong Peng, Gui Zhou, Cunhua Pan, Hong Ren, A. Lee Swindlehurst, Petar Popovski, Gang Wu
Specifically, in Stage I, the channel state information (CSI) of a typical user is estimated.
1 code implementation • 4 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.
no code implementations • 17 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.
no code implementations • 23 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.
no code implementations • 11 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.
no code implementations • 1 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.
no code implementations • 2 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.
no code implementations • 11 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.
no code implementations • 11 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.
1 code implementation • 10 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.
no code implementations • 26 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.
no code implementations • 28 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.
no code implementations • 1 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.
no code implementations • 9 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.
no code implementations • 5 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.
no code implementations • 19 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.
no code implementations • 9 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.
no code implementations • 29 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.
no code implementations • 9 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.
no code implementations • 15 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.