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Found 18 papers, 1 papers with code
Delay Dispersion in IRS-assisted FSO Links
The line-of-sight (LOS) requirement of free-space optical (FSO) systems can be relaxed by employing optical intelligent reflecting surfaces (IRSs).
User Tracking and Direction Estimation Codebook Design for IRS-Assisted mmWave Communication
The proposed UT algorithm requires only a low overhead for direction and channel estimation and avoids outdated IRS phase shifts.
Fast Transition-Aware Reconfiguration of Liquid Crystal-based RISs
This leads to a considerable improvement in the achievable throughput for applications, where the length of the TDMA time intervals is comparable with the RIS reconfiguration time.
Far- versus Near-Field RIS Modeling and Beam Design
In this chapter, we investigate the mathematical foundation of the modeling and design of reconfigurable intelligent surfaces (RIS) in both the far- and near-field regimes.
BeamSec: A Practical mmWave Physical Layer Security Scheme Against Strong Adversaries
The high directionality of millimeter-wave (mmWave) communication systems has proven effective in reducing the attack surface against eavesdropping, thus improving the physical layer security.
RISnet: A Scalable Approach for Reconfigurable Intelligent Surface Optimization with Partial CSI
Two major challenges of this problem are the high dimensionality due to the large number of RIS elements and the difficulty to obtain the full channel state information (CSI), which is assumed known in many algorithms proposed in the literature.
Optical IRSs: Power Scaling Law, Optimal Deployment, and Comparison with Relays
We also consider the impact of linear, quadratic, and focusing phase shift profiles across the IRS on the power collected at the Rx lens for different IRS sizes.
Codebook-Based User Tracking in IRS-Assisted mmWave Communication Networks
In this paper, we present a novel mobile user tracking (UT) scheme for codebook-based intelligent reflecting surface (IRS) aided millimeter wave (mmWave) systems.
Impact of Channel Models on Performance Characterization of RIS-Assisted Wireless Systems
The performance characterization of communication systems assisted by large reconfigurable intelligent surfaces (RISs) significantly depends on the adopted models for the underlying channels.
RIS Assisted Device Activity Detection with Statistical Channel State Information
In order to study the impact of the phase-shift design on the device activity detection, we derive a generalized likelihood ratio test (GLRT) based detector and present an analytical expression for the probability of detection.
Power Scaling Law for Optical IRSs and Comparison with Optical Relays
The line-of-sight (LOS) requirement of free-space optical (FSO) systems can be relaxed by employing optical relays and optical intelligent reflecting surfaces (IRSs).
Modeling and Design of IRS-Assisted Multi-Link FSO Systems
Our simulation results validate the accuracy of the proposed analytical channel model for IRS-assisted FSO systems and confirm that this model is applicable for both large and intermediate IRS-receiver lens distances.
Intelligent Reflecting Surface-assisted Free-space Optical Communications
Free-space optical (FSO) systems are able to offer the high data-rate, secure, and cost-efficient communication links required for applications such as wireless front- and backhauling for 5G and 6G communication networks.
IRS-Assisted Active Device Detection
This paper studies intelligent reflecting surface (IRS) assisted active device detection.
Experimental System for Molecular Communication in Pipe Flow With Magnetic Nanoparticles
The proposed CIR model is shown to consistently capture the experimentally observed distance-dependent impulse response peak heights and peak decays for transmission distances from 5cm to 40cm.
Emerging Technologies
Channel Modeling for IRS-Assisted FSO Systems
In this paper, we develop an analytical channel model for intelligent reflecting surface (IRS)-assisted free space optical (FSO) systems.
Physics-based Modeling of Large Intelligent Reflecting Surfaces for Scalable Optimization
Based on this model, one can design the phase shifts of the unit cells of a tile offline for the support of several transmission modes and then select the best mode online for a given channel realization.
Rényi Entropy Bounds on the Active Learning Cost-Performance Tradeoff
Semi-supervised classification, one of the most prominent fields in machine learning, studies how to combine the statistical knowledge of the often abundant unlabeled data with the often limited labeled data in order to maximize overall classification accuracy.
