Search Results for author:
Found 34 papers, 1 papers with code
Integrated Sensing and Communication Under DISCO Physical-Layer Jamming Attacks
Moreover, a theoretical analysis is conducted to quantify the impact of DISCO jamming attacks.
Near-Far Field Channel Modeling for Holographic MIMO Using Expectation-Maximization Methods
However, this gives rise to a new challenge for accurately modeling the channel, as conventional methods of obtaining channel model parameters are not applicable to this model.
FedRFQ: Prototype-Based Federated Learning with Reduced Redundancy, Minimal Failure, and Enhanced Quality
Federated learning is a powerful technique that enables collaborative learning among different clients.
Unified Near-field and Far-field Localization with Holographic MIMO
In this paper, a unified NF and FF localization method is proposed for the RIS-enabled localization system to overcome the above issue.
Reconfigurable Holographic Surface Aided Wireless Simultaneous Localization and Mapping
As a crucial facilitator of future autonomous driving applications, wireless simultaneous localization and mapping (SLAM) has drawn growing attention recently.
DISCO Might Not Be Funky: Random Intelligent Reflective Surface Configurations That Attack
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.
Anti-Jamming Precoding Against Disco Intelligent Reflecting Surfaces Based Fully-Passive Jamming Attacks
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
Emerging intelligent reflecting surfaces (IRSs) significantly improve system performance, while also pose a huge risk for physical layer security.
Deep Reinforcement Learning for Interference Management in UAV-based 3D Networks: Potentials and Challenges
In this paper, we propose leveraging deep reinforcement learning for interference management to tackle this shortcoming.
Generative AI-empowered Simulation for Autonomous Driving in Vehicular Mixed Reality Metaverses
In the vehicular mixed reality (MR) Metaverse, the distance between physical and virtual entities can be overcome by fusing the physical and virtual environments with multi-dimensional communications in autonomous driving systems.
Disco Intelligent Reflecting Surfaces: Active Channel Aging for Fully-Passive Jamming Attacks
A theoretical analysis of the proposed DIRS-based FPJ that provides an evaluation of the DIRS-based jamming attacks is derived.
Generative AI-empowered Effective Physical-Virtual Synchronization in the Vehicular Metaverse
Furthermore, we propose a multi-task enhanced auction-based mechanism to match and price AVs and MARs for RSUs to provision real-time and effective services.
Reconfigurable Holographic Surface: A New Paradigm to Implement Holographic Radio
Ultra-massive multiple-input multiple-output (MIMO) is one of the key enablers in the forthcoming 6G networks to provide high-speed data services by exploiting spatial diversity.
Holographic Integrated Sensing and Communications: Principles, Technology, and Implementation
We first introduce the hardware structure and working principle of the RHS and then propose a novel holographic beamforming scheme for ISAC.
Intelligent Omni-Surfaces Aided Wireless Communications: Does the Reciprocity Hold?
Intelligent omni-surfaces (IOS) have attracted great attention recently due to its potential to achieve full-dimensional communications by simultaneously reflecting and refracting signals toward both sides of the surface.
Meta-material Sensor Based Internet of Things: Design, Optimization, and Implementation
However, to maximize the sensing accuracy, the structures of meta-IoT sensors need to be optimized considering their joint influence on sensing and transmission, which is challenging due to the high computational complexity in evaluating the influence, especially given a large number of sensors.
MetaRadar: Multi-target Detection for Reconfigurable Intelligent Surface Aided Radar Systems
To address this issue, we propose to use the reconfigurable intelligent surface (RIS) to improve the detection accuracy of radar systems due to its capability to customize channel conditions by adjusting its phase shifts, which is referred to as MetaRadar.
Reconfigurable Holographic Surfaces for Future Wireless Communications
Future wireless communications look forward to constructing a ubiquitous intelligent information network with high data rates through cost-efficient devices.
MetaSketch: Wireless Semantic Segmentation by Metamaterial Surfaces
Semantic segmentation is a process of partitioning an image into multiple segments for recognizing humans and objects, which can be widely applied in scenarios such as healthcare and safety monitoring.
Wireless Indoor Simultaneous Localization and Mapping Using Reconfigurable Intelligent Surface
In this paper, we propose a novel SLAM system assisted by a reconfigurable intelligent surface (RIS) to address this issue.
Deployment Optimization for Meta-material Based Internet of Things
It is a challenge to optimize the positions of the Meta-IoT devices to ensure sensing accuracy of 3D environmental conditions.
Meta-material Sensors based Internet of Things for 6G Communications
In the coming 6G communications, the internet of things (IoT) serves as a key enabler to collect environmental information and is expected to achieve ubiquitous deployment.
Spatial Equalization Before Reception: Reconfigurable Intelligent Surfaces for Multi-path Mitigation
Reconfigurable intelligent surfaces (RISs), which enable tunable anomalous reflection, have appeared as a promising method to enhance wireless systems.
Information Theory Information Theory
ANL: Anti-Noise Learning for Cross-Domain Person Re-Identification
Usually, attributed to the domain gaps, the pre-trained source domain model cannot extract appropriate target domain features, which will dramatically affect the clustering performance and the accuracy of pseudo-labels.
MetaSensing: Intelligent Metasurface Assisted RF 3D Sensing by Deep Reinforcement Learning
To tackle this challenge, we formulate an optimization problem for minimizing the cross-entropy loss of the sensing outcome, and propose a deep reinforcement learning algorithm to jointly compute the optimal beamformer patterns and the mapping of the received signals.
MetaLocalization: Reconfigurable Intelligent Surface Aided Multi-user Wireless Indoor Localization
As the RIS is able to customize the radio channels by adjusting the phase shifts of the signals reflected at the surface, the localization accuracy in the RIS aided scheme can be improved by choosing the proper phase shifts with significant differences of RSS values among adjacent locations.
Intelligent Omni-Surface: Ubiquitous Wireless Transmission by Reflective-Transmissive Metasurface
Intelligent reflecting surface (IRS), which is capable to adjust propagation conditions by controlling phase shifts of the reflected waves that impinge on the surface, has been widely analyzed for enhancing the performance of wireless systems.
Beyond Intelligent Reflecting Surfaces: Reflective-Transmissive Metasurface Aided Communications for Full-dimensional Coverage Extension
In this paper, we study an intelligent omni-surface (IOS)-assisted downlink communication system, where the link quality of a mobile user (MU) can be improved with a proper IOS phase shift design.
Signal Processing
Sense-Store-Send: Trajectory Optimization for a Buffer-aided Internet of UAVs
To minimize the overall completion time for all the sensing tasks, we formulate a joint trajectory, sensing location, and sensing time optimization problem.
On Spatial Multiplexing Using Reconfigurable Intelligent Surfaces
We consider an uplink multi-user scenario and investigate the use of reconfigurable intelligent surfaces (RIS) to optimize spatial multiplexing performance when a linear receiver is used.
MetaRadar: Indoor Localization by Reconfigurable Metamaterials
However, in MetaRadar, it is challenging to build radio maps for all the radio environments generated by metamaterial units and select suitable maps from all the possible maps to realize a high accuracy localization.
Cooperative Internet of UAVs: Distributed Trajectory Design by Multi-agent Deep Reinforcement Learning
In this paper, we consider a cellular Internet of UAVs, where the UAVs execute sensing tasks through cooperative sensing and transmission to minimize the age of information (AoI).
Towards Ubiquitous Positioning by Leveraging Reconfigurable Intelligent Surface
The received signal strength (RSS) based technique is widely utilized for ubiquitous positioning due to its advantage of simple implementability.
Reconfigurable Intelligent Surfaces for Wireless Communications: Principles, Challenges, and Opportunities
Recently there has been a flurry of research on the use of reconfigurable intelligent surfaces (RIS) in wireless networks to create smart radio environments.
