Search Results for author:
Found 159 papers, 16 papers with code
Reduced-latency DL-based Fractional Channel Estimation in OTFS Receivers
In this work, we propose a deep learning (DL)-based approach that integrates a state-of-the-art algorithm with a time-frequency (TF) learning framework to minimize overall latency.
Joint Bistatic Positioning and Monostatic Sensing: Optimized Beamforming and Performance Tradeoff
To adapt to low-cost hardwares, we develop unit-amplitude analog FDB and CPA schemes based on the weighted-sum mismatch of the covariance matrices paradigm, solved using distinct methods.
Joint Near-Field Sensing and Visibility Region Detection with Extremely Large Aperture Arrays
In this paper, we consider near-field localization and sensing with an extremely large aperture array under partial blockage of array antennas, where spherical wavefront and spatial non-stationarity are accounted for.
RIS-Aided Positioning Under Adverse Conditions: Interference from Unauthorized RIS
Positioning technology, which aims to determine the geometric information of a device in a global coordinate, is a key component in integrated sensing and communication systems.
Intrinsic Cramér-Rao Bound based 6D Localization and Tracking for 5G/6G Systems
Localization and tracking are critical components of integrated sensing and communication (ISAC) systems, enhancing resource management, beamforming accuracy, and overall system reliability through precise sensing.
Positioning-Aided Channel Estimation for Multi-LEO Satellite Downlink Communications
We investigate a multi-low Earth orbit (LEO) satellite system that simultaneously provides positioning and communication services to terrestrial user terminals.
Modern Base Station Architecture: Enabling Passive Beamforming with Beyond Diagonal RISs
Beamforming plays a crucial role in millimeter wave (mmWave) communication systems to mitigate the severe attenuation inherent to this spectrum.
Integrated 6G TN and NTN Localization: Challenges, Opportunities, and Advancements
The rapid evolution of cellular networks has introduced groundbreaking technologies, including large and distributed antenna arrays and reconfigurable intelligent surfaces in terrestrial networks (TNs), as well as aerial and space-based nodes in non-terrestrial networks (NTNs).
Optimized Beamforming for Joint Bistatic Positioning and Monostatic Sensing
We investigate the performance tradeoff between \textit{bistatic positioning (BP)} and \textit{monostatic sensing (MS)} in a multi-input multi-output orthogonal frequency division multiplexing scenario.
Privacy Preservation in MIMO-OFDM Localization Systems: A Beamforming Approach
We investigate an uplink MIMO-OFDM localization scenario where a legitimate base station (BS) aims to localize a user equipment (UE) using pilot signals transmitted by the UE, while an unauthorized BS attempts to localize the UE by eavesdropping on these pilots, posing a risk to the UE's location privacy.
Efficient Localization with Base Station-Integrated Beyond Diagonal RIS
This paper introduces a novel approach to efficient localization in next-generation communication systems through a base station (BS)-enabled passive beamforming utilizing beyond diagonal reconfigurable intelligent surfaces (BD-RISs).
Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays
Additionally, the proposed method outperforms the classical MUSIC algorithm in the DoA estimation task.
Target Handover in Distributed Integrated Sensing and Communication
This paper addresses the target handover challenge in DISAC systems and introduces a method enabling BSs to share essential target trajectory information at appropriate time steps, facilitating seamless handovers to other BSs.
Location and Map-Assisted Wideband Phase and Time Calibration Between Distributed Antennas
However, these networks require frequent phase and time calibration between distributed antennas due to oscillator phase drifts, crucial for reciprocity-based coherent beamforming and accurate localization.
Uplink Cell-Free Massive MIMO OFDM with Phase Noise-Aware Channel Estimation: Separate and Shared LOs
Based on our OFDM signal model, we propose two PN-aware channel and common phase error estimators: a distributed estimator for uncorrelated PN with separate LOs and a centralized estimator with shared LOs.
6G RIS-aided Single-LEO Localization with Slow and Fast Doppler Effects
6G networks aim to enable applications like autonomous driving by providing complementary localization services through key technologies such as non-terrestrial networks (NTNs) with low Earth orbit (LEO) satellites and reconfigurable intelligent surfaces (RIS).
Unsupervised Learning for Gain-Phase Impairment Calibration in ISAC Systems
Gain-phase impairments (GPIs) affect both communication and sensing in 6G integrated sensing and communication (ISAC).
Calibration in RIS-aided Integrated Sensing, Localization and Communication Systems
Reconfigurable intelligent surfaces (RISs) are key enablers for integrated sensing and communication (ISAC) systems in the 6G communication era.
Joint Localization, Synchronization and Mapping via Phase-Coherent Distributed Arrays
Extremely large-scale antenna array (ELAA) systems emerge as a promising technology in beyond 5G and 6G wireless networks to support the deployment of distributed architectures.
Frugal RIS-aided 3D Localization with CFO under LoS and NLoS Conditions
In this paper, we investigate 3-D localization and frequency synchronization with multiple reconfigurable intelligent surfaces (RISs) in the presence of carrier frequency offset (CFO) for a stationary user equipment (UE).
Privacy Preservation in Delay-Based Localization Systems: Artificial Noise or Artificial Multipath?
Localization plays an increasingly pivotal role in 5G/6G systems, enabling various applications.
RIS-Aided Bistatic Radar for Rapid NLOS Sensing in the Teraharetz Band
Moreover, we propose an iterative maximum likelihood estimation (MLE) scheme to yield the optimum sensing accuracy, converging to Cramer-Rao lower bound (CRLB).
Improving 3D Cellular Positioning Integrity with Bayesian RAIM
Ensuring positioning integrity amid faulty measurements is crucial for safety-critical applications, making receiver autonomous integrity monitoring (RAIM) indispensable.
RIS-Assisted High Resolution Radar Sensing
This paper analyzes monostatic sensing by a user equipment (UE) for a setting in which the UE is unable to resolve multiple targets due to their interference within a single resolution bin.
Batch SLAM with PMBM Data Association Sampling and Graph-Based Optimization
Simultaneous localization and mapping (SLAM) methods need to both solve the data association (DA) problem and the joint estimation of the sensor trajectory and the map, conditioned on a DA.
AoA-Based Physical Layer Authentication in Analog Arrays under Impersonation Attacks
We discuss the use of angle of arrival (AoA) as an authentication measure in analog array multiple-input multiple-output (MIMO) systems.
Multicarrier ISAC: Advances in Waveform Design, Signal Processing and Learning under Non-Idealities
This paper addresses the topic of integrated sensing and communications (ISAC) in 5G and emerging 6G wireless networks.
V2X Sidelink Positioning in FR1: From Ray-Tracing and Channel Estimation to Bayesian Tracking
Sidelink positioning research predominantly focuses on the snapshot positioning problem, often within the mmWave band.
The Integrated Sensing and Communication Revolution for 6G: Vision, Techniques, and Applications
Future wireless networks will integrate sensing, learning and communication to provide new services beyond communication and to become more resilient.
Robust Snapshot Radio SLAM
The intrinsic geometric connections between millimeter-wave (mmWave) signals and the propagation environment can be leveraged for simultaneous localization and mapping (SLAM) in 5G and beyond networks.
Time vs. Frequency Domain DPD for Massive MIMO: Methods and Performance Analysis
We also propose a learning algorithm for any FD-DPDs with differentiable structure.
ELAA Near-Field Localization and Sensing with Partial Blockage Detection
Considering the array size could be much larger than an obstacle, the effect of partial blockage (i. e., a portion of antennas are blocked) is investigated, and a blockage detection algorithm is proposed.
Towards Distributed and Intelligent Integrated Sensing and Communications for 6G Networks
This paper introduces the distributed and intelligent integrated sensing and communications (DISAC) concept, a transformative approach for 6G wireless networks that extends the emerging concept of integrated sensing and communications (ISAC).
Joint Communication and Sensing for 6G -- A Cross-Layer Perspective
As 6G emerges, cellular systems are envisioned to integrate sensing with communication capabilities, leading to multi-faceted communication and sensing (JCAS).
Fundamental Trade-Offs in Monostatic ISAC: A Holistic Investigation Towards 6G
This paper undertakes a holistic investigation of two fundamental trade-offs in monostatic OFDM integrated sensing and communication (ISAC) systems-namely, the time-frequency trade-off and the spatial trade-off, originating from the choice of modulation order for random data and the design of beamforming strategies, respectively.
Subspace-Based Detection in OFDM ISAC Systems under Different Constellations
This paper investigates subspace-based target detection in OFDM integrated sensing and communications (ISAC) systems, considering the impact of various constellations.
Interference analysis of Positioning Reference Signals in 5G NTN
Accurate asset localization holds paramount importance across various industries, ranging from transportation management to search and rescue operations.
RIS-Aided NLoS Monostatic Sensing under Mobility and Angle-Doppler Coupling
We investigate the problem of reconfigurable intelligent surface (RIS)-aided monostatic sensing of a mobile target under line-of-sight (LoS) blockage considering a single antenna, full-duplex, and dual-functional radar-communications base station (BS).
Enhancing Sensing-Assisted Communications in Cluttered Indoor Environments through Background Subtraction
Integrated sensing and communications (ISAC) is poised to be a native technology for the forthcoming Sixth Generation (6G) era, with an emphasis on its potential to enhance communications performance through the integration of sensing information, i. e., sensing-assisted communications (SAC).
Deceptive Jamming in WLAN Sensing
Joint Communication and Sensing (JCAS) is taking its first shape in WLAN sensing under IEEE 802. 11bf, where standardized WLAN signals and protocols are exploited to enable radar-like sensing.
Blind Frequency-Domain Equalization Using Vector-Quantized Variational Autoencoders
We propose a novel frequency-domain blind equalization scheme for coherent optical communications.
Transformer-Based Multi-Object Smoothing with Decoupled Data Association and Smoothing
Multi-object tracking (MOT) is the task of estimating the state trajectories of an unknown and time-varying number of objects over a certain time window.
Millimeter-wave Radio SLAM: End-to-End Processing Methods and Experimental Validation
In this article, we address the timely topic of cellular bistatic simultaneous localization and mapping (SLAM) with specific focus on end-to-end processing solutions, from raw I/Q samples, via channel parameter estimation to user equipment (UE) and landmark location information in millimeter-wave (mmWave) networks, with minimal prior knowledge.
Joint DOA estimation and distorted sensor detection under entangled low-rank and row-sparse constraints
The problem of joint direction-of-arrival estimation and distorted sensor detection has received a lot of attention in recent decades.
RIS-Enabled NLoS Near-Field Joint Position and Velocity Estimation under User Mobility
In the context of single-base station (BS) non-line-of-sight (NLoS) single-epoch localization with the aid of a reflective reconfigurable intelligent surface (RIS), this paper introduces a novel three-step algorithm that jointly estimates the position and velocity of a mobile user equipment (UE), while compensating for the Doppler effects observed in near-field (NF) at the RIS elements over the short transmission duration of a sequence of downlink (DL) pilot symbols.
Reconfigurable Intelligent Surfaces in 6G Radio Localization: A Survey of Recent Developments, Opportunities, and Challenges
In this survey paper, we present an extensive review of the use of RIS in 6G radio localization, highlighting their pivotal role as a low-cost, energy-efficient technology that reshapes wireless communication and localization landscapes.
A Tutorial on 5G Positioning
The widespread adoption of the fifth generation (5G) of cellular networks has brought new opportunities for the development of localization-based services.
RIS Position and Orientation Estimation via Multi-Carrier Transmissions and Multiple Receivers
In this paper, we consider a static user equipped with an RIS and study the RIS localization problem (i. e., joint three-dimensional position and orientation estimation), when operating in a system comprising a single-antenna transmitter and multiple synchronized single-antenna receivers with known locations.
V2X Sidelink Positioning in FR1: Scenarios, Algorithms, and Performance Evaluation
In this paper, we investigate sub-6 GHz V2X sidelink positioning scenarios in 5G vehicular networks through a comprehensive end-to-end methodology encompassing ray-tracing-based channel modeling, novel theoretical performance bounds, high-resolution channel parameter estimation, and geometric positioning using a round-trip-time (RTT) protocol.
Semi-Supervised End-to-End Learning for Integrated Sensing and Communications
Integrated sensing and communications (ISAC) is envisioned as one of the key enablers of next-generation wireless systems, offering improved hardware, spectral, and energy efficiencies.
6G Positioning and Sensing Through the Lens of Sustainability, Inclusiveness, and Trustworthiness
6G promises a paradigm shift by integrating positioning and sensing, enhancing not only the communication performance but also enabling location- and context-aware services.
Integrated Monostatic and Bistatic mmWave Sensing
Millimeter-wave (mmWave) signals provide attractive opportunities for sensing due to their inherent geometrical connections to physical propagation channels.
Model-Based End-to-End Learning for Multi-Target Integrated Sensing and Communication under Hardware Impairments
We propose a novel differentiable version of the orthogonal matching pursuit (OMP) algorithm that is suitable for multi-target sensing and allows for efficient end-to-end learning of the hardware impairments.
Fundamental Performance Bounds for Carrier Phase Positioning in Cellular Networks
The carrier phase of cellular signals can be utilized for highly accurate positioning, with the potential for orders-of-magnitude performance improvements compared to standard time-difference-of-arrival positioning.
Integrated Sensing and Communications with MIMO-OTFS
For the search mode, we introduce the concept of delay-Doppler (DD) multiplexing, enabling omnidirectional probing of the environment and large virtual array at the OTFS radar receiver.
Impact of Phase Noise on Uplink Cell-Free Massive MIMO OFDM
Cell-Free massive MIMO networks provide huge power gains and resolve inter-cell interference by coherent processing over a massive number of distributed instead of co-located antennas in access points (APs).
Zero Access Points 3D Cooperative Positioning via RIS and Sidelink Communications
Reconfigurable intelligent surfaces (RISs) are expected to be a main component of future 6G networks, due to their capability to create a controllable wireless environment, and achieve extended coverage and improved localization accuracy.
Set-Type Belief Propagation with Applications to Poisson Multi-Bernoulli SLAM
In this paper, we develop BP rules for factor graphs defined on sequences of RFSs where each RFS has an unknown number of elements, with the intention of deriving novel inference methods for RFSs.
Simultaneous Localization and Mapping
Vocal Bursts Type Prediction
JrCUP: Joint RIS Calibration and User Positioning for 6G Wireless Systems
In the second stage, a two-dimensional search algorithm is proposed to estimate the three-dimensional user and RIS positions, one-dimensional RIS orientation, and clock bias from the estimated channel parameters.
Performance of RIS-Aided Nearfield Localization under Beams Approximation from Real Hardware Characterization
The technology of reconfigurable intelligent surfaces (RIS) has been showing promising potential in a variety of applications relying on Beyond-5G networks.
Experimental Validation of Single BS 5G mmWave Positioning and Mapping for Intelligent Transport
Positioning with 5G signals generally requires connection to several base stations (BSs), which makes positioning more demanding in terms of infrastructure than communications.
Multi-RIS-Enabled 3D Sidelink Positioning
Positioning is expected to be a core function in intelligent transportation systems (ITSs) to support communication and location-based services, such as autonomous driving, traffic control, etc.
Blind Channel Equalization Using Vector-Quantized Variational Autoencoders
Furthermore, we show that for the linear channel, the proposed scheme exhibits better convergence properties than the \ac{MMSE}-based, the \ac{CMA}-based, and the \ac{VAE}-based equalizers in terms of both convergence speed and robustness to variations in training batch size and learning rate.
RIS-aided Localization under Pixel Failures
Reconfigurable intelligent surfaces (RISs) hold great potential as one of the key technological enablers for beyond-5G wireless networks, improving localization and communication performance under line-of-sight (LoS) blockage conditions.
Uplink Joint Positioning and Synchronization in Cell-Free Deployments with Radio Stripes
Radio stripes (RSs) is an emerging technology in beyond 5G and 6G wireless networks to support the deployment of cell-free architectures.
A Projective Geometric View for 6D Pose Estimation in mmWave MIMO Systems
In this paper, we reveal a close connection between the AoA and AoD and the well-studied perspective projection model from computer vision.
Rateless Autoencoder Codes: Trading off Decoding Delay and Reliability
Most of today's communication systems are designed to target reliable message recovery after receiving the entire encoded message (codeword).
RISs and Sidelink Communications in Smart Cities: The Key to Seamless Localization and Sensing
A smart city involves, among other elements, intelligent transportation, crowd monitoring, and digital twins, each of which requires information exchange via wireless communication links and localization of connected devices and passive objects (including people).
ESPRIT-Oriented Precoder Design for mmWave Channel Estimation
We consider the problem of ESPRIT-oriented precoder design for beamspace angle-of-departure (AoD) estimation in downlink mmWave multiple-input single-output communications.
Modeling and Analysis of OFDM-based 5G/6G Localization under Hardware Impairments
Our extensive simulation results demonstrate that each type of HWI leads to a different level of degradation in angle and delay estimation performance, and the prominent impairment factors on delay estimation will have a dominant negative effect on SER.
Model-Driven End-to-End Learning for Integrated Sensing and Communication
Integrated sensing and communication (ISAC) is envisioned to be one of the pillars of 6G.
RIS-Aided Monostatic Sensing and Object Detection with Single and Double Bounce Multipath
We propose a framework for monostatic sensing by a user equipment (UE), aided by a reconfigurable intelligent surface (RIS) in environments with single- and double-bounce signal propagation.
RIS-Enabled and Access-Point-Free Simultaneous Radio Localization and Mapping
In the upcoming sixth generation (6G) of wireless communication systems, reconfigurable intelligent surfaces~(RISs) are regarded as one of the promising technological enablers, which can provide programmable signal propagation.
Joint RIS Calibration and Multi-User Positioning
Reconfigurable intelligent surfaces (RISs) are expected to be a key component enabling the mobile network evolution towards a flexible and intelligent 6G wireless platform.
3D Localization with a Single Partially-Connected Receiving RIS: Positioning Error Analysis and Algorithmic Design
We particularly focus on the scenarios where the user is located in the far-field of all the R-RIS subarrays, and present a three-Dimensional (3D) localization method which is based on narrowband signaling and Angle of Arrival (AoA) estimates of the impinging signals at each single-receive-RF R-RIS subarray.
MmWave Mapping and SLAM for 5G and Beyond
We distinguish the different types of sensing problems and then focus on mapping and SLAM as running examples.
On the Impact of Phase Noise on Monostatic Sensing in OFDM ISAC Systems
Phase noise (PN) can become a major bottleneck for integrated sensing and communications (ISAC) systems towards 6G wireless networks.
RIS-Enabled SISO Localization under User Mobility and Spatial-Wideband Effects
Specifically, we observe that the state of the user with a high speed (42 m/s) can be estimated virtually with the same accuracy as a static user.
Bayesian Integrity Monitoring for Cellular Positioning -- A Simplified Case Study
Bayesian receiver autonomous integrity monitoring (RAIM) algorithms are developed for the snapshot cellular positioning problem in a simplified one-dimensional (1D) linear Gaussian setting.
Misspecified Cramér-Rao Bound of RIS-aided Localization under Geometry Mismatch
In 5G/6G wireless systems, reconfigurable intelligent surfaces (RIS) can play a role as a passive anchor to enable and enhance localization in various scenarios.
Positioning and Sensing in 6G: Gaps, Challenges, and Opportunities
Among the key differentiators of 6G compared to 5G will be the increased emphasis on radio based positioning and sensing.
Analysis of V2X Sidelink Positioning in sub-6 GHz
Radio positioning is an important part of joint communication and sensing in beyond 5G communication systems.
Compressed-Sensing-Based 3D Localization with Distributed Passive Reconfigurable Intelligent Surfaces
In this paper, the programmable signal propagation paradigm, enabled by Reconfigurable Intelligent Surfaces (RISs), is exploited for high accuracy $3$-Dimensional (3D) user localization with a single multi-antenna base station.
Joint User Localization and Location Calibration of A Hybrid Reconfigurable Intelligent Surface
The recent research in the emerging technology of reconfigurable intelligent surfaces (RISs) has identified its high potential for localization and sensing.
Spatial Signal Design for Positioning via End-to-End Learning
This letter considers the problem of end-to-end learning for joint optimization of transmitter precoding and receiver processing for mmWave downlink positioning.
Localization Coverage Analysis of THz Communication Systems with a 3D Array
This paper considers the problem of estimating the position and orientation of a user equipped with a three-dimensional (3D) array receiving downlink far-field THz signals from multiple base stations with known positions and orientations.
Wideband mmWave Massive MIMO Channel Estimation and Localization
Spatial wideband effects are known to affect channel estimation and localization performance in millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems.
Two-Timescale Transmission Design and RIS Optimization for Integrated Localization and Communications
Reconfigurable intelligent surfaces (RISs) have tremendous potential to boost communication performance, especially when the line-of-sight (LOS) path between the user equipment (UE) and base station (BS) is blocked.
An Iterative 5G Positioning and Synchronization Algorithm in NLOS Environments with Multi-Bounce Paths
Numerical simulations are carried out to evaluate the performance of the proposed algorithm.
Radio Localization and Sensing -- Part I: Fundamentals
This letter is part of a two-letter tutorial on radio localization and sensing, with focus on mobile radio systems in 5G mmWave and beyond.
Radio Localization and Sensing -- Part II: State-of-the-art and Challenges
This letter is part of a two-letter tutorial on radio localization and sensing, with a focus on mobile radio systems, i. e., 5G and beyond.
Doppler Exploitation in Bistatic mmWave Radio SLAM
Networks in 5G and beyond utilize millimeter wave (mmWave) radio signals, large bandwidths, and large antenna arrays, which bring opportunities in jointly localizing the user equipment and mapping the propagation environment, termed as simultaneous localization and mapping (SLAM).
Cramér-Rao Bound Analysis of Radars for Extended Vehicular Targets with Known and Unknown Shape
In this work, we first devise a mathematically tractable analytical model for a vehicle with arbitrary shape, modeled as an extended target parameterized by the center position, the orientation (heading) and the perimeter contour.
Bi-Static Sensing for Near-Field RIS Localization
Due to the deployment of RISs with a large dimension, near-field (NF) scenarios are likely to occur, especially for indoor applications, and are the focus of this work.
Channel Model Mismatch Analysis for XL-MIMO Systems from a Localization Perspective
Radio localization is applied in high-frequency (e. g., mmWave and THz) systems to support communication and to provide location-based services without extra infrastructure.
Doppler-Enabled Single-Antenna Localization and Mapping Without Synchronization
With the help of multipath components (MPCs), localization and mapping tasks can be done with a single base station (BS) and single unsynchronized user equipment (UE) if both of them are equipped with an antenna array.
On the Impact of Hardware Impairments on RIS-aided Localization
We investigate a reconfigurable intelligent surface (RIS)-aided near-field localization system with single-antenna user equipment (UE) and base station (BS) under hardware impairments by considering a practical phase-dependent RIS amplitude variations model.
6G Radio Requirements to Support Integrated Communication, Localization, and Sensing
6G will be characterized by extreme use cases, not only for communication, but also for localization, and sensing.
Monostatic Sensing with OFDM under Phase Noise: From Mitigation to Exploitation
We consider the problem of monostatic radar sensing with orthogonal frequency-division multiplexing (OFDM) joint radar-communications (JRC) systems in the presence of phase noise (PN) caused by oscillator imperfections.
Frequency-domain digital predistortion for Massive MU-MIMO-OFDM Downlink
In this paper, we propose a convolutional neural network (CNN)-based DPD in the frequency domain, taking place before the precoding, where the dimensionality of the signal space depends on the number of users, instead of the number of BS antennas.
PMBM-based SLAM Filters in 5G mmWave Vehicular Networks
Secondly, the Poisson multi-Bernoulli (PMB) SLAM filter is based on the standard reduction from PMBM to PMB, but involves a novel interpretation based on auxiliary variables and a relation to Bethe free energy.
RIS-aided Joint Localization and Synchronization with a Single-Antenna Receiver: Beamforming Design and Low-Complexity Estimation
In this paper, a novel low-complexity method for joint localization and synchronization based on an optimized design of the base station (BS) active precoding and RIS passive phase profiles is proposed, for the challenging case of a single-antenna receiver.
MCRB-based Performance Analysis of 6G Localization under Hardware Impairments
Location information is expected to be the key to meeting the needs of communication and context-aware services in 6G systems.
RIS-aided Near-Field Localization under Phase-Dependent Amplitude Variations
The proposed method can successfully recover the performance loss of the AMML under a wide range of RIS parameters and effectively calibrate the RIS amplitude model online with the help of a user that has an a-priori unknown location.
Leveraging RIS-Enabled Smart Signal Propagation for Solving Infeasible Localization Problems
Reconfigurable intelligent surfaces (RISs) have tremendous potential for both communication and localization.
MmWave 6D Radio Localization with a Snapshot Observation from a Single BS
Accurate and ubiquitous localization is crucial for a variety of applications such as logistics, navigation, intelligent transport, monitoring, control, and also for the benefit of communications.
Constrained RIS Phase Profile Optimization and Time Sharing for Near-field Localization
The rising concept of reconfigurable intelligent surface (RIS) has promising potential for Beyond 5G localization applications.
Arbitrary Beam Pattern Approximation via RISs with Measured Element Responses
Smart radio environments (SREs) are seen as a key rising concept of next generation wireless networks, where propagation channels between transmitters and receivers are purposely controlled.
RIS-Enabled Self-Localization: Leveraging Controllable Reflections With Zero Access Points
In this paper, we introduce a novel use-case of the RIS technology in radio localization, which is enabling the user to estimate its own position via transmitting orthogonal frequency-division multiplexing (OFDM) pilots and processing the signal reflected from the RIS.
Can Deep Learning be Applied to Model-Based Multi-Object Tracking?
Multi-object tracking (MOT) is the problem of tracking the state of an unknown and time-varying number of objects using noisy measurements, with important applications such as autonomous driving, tracking animal behavior, defense systems, and others.
Iterated Posterior Linearization PMB Filter for 5G SLAM
In this paper, we study the linearization of the measurement function with respect to the posterior PDF, and implement the iterated posterior linearization filter into the Poisson multi-Bernoulli SLAM filter.
Model-Based End-to-End Learning for WDM Systems With Transceiver Hardware Impairments
Simulation results show that the reinforcement-learning-based algorithm achieves similar performance to the standard supervised end-to-end learning approach assuming perfect channel knowledge.
Symbol-Based Over-the-Air Digital Predistortion Using Reinforcement Learning
We propose an over-the-air digital predistortion optimization algorithm using reinforcement learning.
Beamspace Multidimensional ESPRIT Approaches for Simultaneous Localization and Communications
The proposed method is compared to the tensor ESPRIT method, in terms of channel estimation, communication, localization, and sensing performance, further validating the perturbation analysis.
End-to-End Learning for Integrated Sensing and Communication
The approach includes the proposal of the AE architecture, a novel ISAC loss function, and the training procedure.
A Tutorial on Terahertz-Band Localization for 6G Communication Systems
Terahertz (THz) communications are celebrated as key enablers for converged localization and sensing in future sixth-generation (6G) wireless communication systems and beyond.
RIS-Enabled Localization Continuity Under Near-Field Conditions
Reconfigurable intelligent surfaces (RISs) have the potential to enable user localization in scenarios where traditional approaches fail.
Beyond 5G RIS mmWave Systems: Where Communication and Localization Meet
Upcoming beyond fifth generation (5G) communications systems aim at further enhancing key performance indicators and fully supporting brand new use cases by embracing emerging techniques, e. g., reconfigurable intelligent surface (RIS), integrated communication, localization, and sensing, and mmWave/THz communications.
A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM
Millimeter wave (mmWave) signals are useful for simultaneous localization and mapping (SLAM), due to their inherent geometric connection to the propagation environment and the propagation channel.
An Uncertainty-Aware Performance Measure for Multi-Object Tracking
Evaluating the performance of multi-object tracking (MOT) methods is not straightforward, and existing performance measures fail to consider all the available uncertainty information in the MOT context.
mmWave Simultaneous Localization and Mapping Using a Computationally Efficient EK-PHD Filter
Future cellular networks that utilize millimeter wave signals provide new opportunities in positioning and situational awareness.
Learning to Estimate RIS-Aided mmWave Channels
Inspired by the remarkable learning and prediction performance of deep neural networks (DNNs), we apply one special type of DNN framework, known as model-driven deep unfolding neural network, to reconfigurable intelligent surface (RIS)-aided millimeter wave (mmWave) single-input multiple-output (SIMO) systems.
Dirichlet process approach for radio-based simultaneous localization and mapping
By comparing the results with the SLAM based on the Rao-Blackwellized probability hypothesis density filter, we confirm a slight drop in SLAM performance, but as a result, we validate that it has a significant gain in computational complexity.
Integration of Communication and Sensing in 6G: a Joint Industrial and Academic Perspective
6G will likely be the first generation of mobile communication that will feature tight integration of localization and sensing with communication functionalities.
Cooperative mmWave PHD-SLAM with Moving Scatterers
Using the multiple-model (MM) probability hypothesis density (PHD) filter, millimeter wave (mmWave) radio simultaneous localization and mapping (SLAM) in vehicular scenarios is susceptible to movements of objects, in particular vehicles driving in parallel with the ego vehicle.
Multi-RIS Discrete-Phase Encoding for Interpath-Interference-Free Channel Estimation
We take into consideration the limited resolution of the RIS phase shifters and show that in the presence of this practical limitation, orthogonal phase profiles can be designed based on Butson-type Hadamard matrices.
Over-the-fiber Digital Predistortion Using Reinforcement Learning
We demonstrate, for the first time, experimental over-the-fiber training of transmitter neural networks (NNs) using reinforcement learning.
Optimal Spatial Signal Design for mmWave Positioning under Imperfect Synchronization
We consider the problem of spatial signal design for multipath-assisted mmWave positioning under limited prior knowledge on the user's location and clock bias.
Semi-Passive 3D Positioning of Multiple RIS-Enabled Users
In this work, we study the application of RIS in a multi-user passive localization scenario, where we have one transmitter (Tx) and multiple asynchronous receivers (Rxs) with known locations.
Low Complexity Joint Impairment Mitigation of I/Q Modulator and PA Using Neural Networks
Neural networks (NNs) for multiple hardware impairments mitigation of a realistic direct conversion transmitter are impractical due to high computational complexity.
Hybrid Relay-Reflecting Intelligent Surface-Aided Wireless Communications: Opportunities, Challenges, and Future Perspectives
In this paper, we provide an overview of a hybrid relay-reflecting intelligent surface (HR-RIS) architecture, in which only a few elements are active and connected to power amplifiers and radio frequency chains.
Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning
We show that the proposed model outperforms state-of-the-art Bayesian filters in complex scenarios, while matching their performance in simpler cases, which validates the applicability of deep-learning also in the model-based regime.
Radar Sensing with OTFS: Embracing ISI and ICI to Surpass the Ambiguity Barrier
Orthogonal time frequency space (OTFS) is a promising alternative to orthogonal frequency division multiplexing (OFDM) in high-mobility beyond 5G communications.
MIMO-OFDM Joint Radar-Communications: Is ICI Friend or Foe?
For each estimated angle, we next formulate the radar delay-Doppler estimation as a joint carrier frequency offset (CFO) and channel estimation problem via an APES (amplitude and phase estimation) spatial filtering approach by transforming the delay-Doppler parameterized radar channel into an unstructured form.
End-to-end Autoencoder for Superchannel Transceivers with Hardware Impairment
We propose an end-to-end learning-based approach for superchannel systems impaired by non-ideal hardware component.
Distributed Channel Access for Control Over Unknown Memoryless Communication Channels
This property is then exploited for developing our distributed deterministic channel access scheme.
Millimeter-wave Mobile Sensing and Environment Mapping: Models, Algorithms and Validation
Integrating efficient connectivity, positioning and sensing functionalities into 5G New Radio (NR) and beyond mobile cellular systems is one timely research paradigm, especially at mm-wave and sub-THz bands.
Chance-Constrained Active Inference
We illustrate how chance-constrained ActInf weights all imposed (prior) constraints on the generative model, allowing e. g., for a trade-off between robust control and empirical chance constraint violation.
ICI-Aware Parameter Estimation for MIMO-OFDM Radar via APES Spatial Filtering
We propose a novel three-stage delay-Doppler-angle estimation algorithm for a MIMO-OFDM radar in the presence of inter-carrier interference (ICI).
Reconfigurable Intelligent Surfaces: A Signal Processing Perspective With Wireless Applications
We will provide the formulas and derivations that are required to understand and analyze RIS-aided systems using signal processing, and exemplify how they can be utilized for improved communication, localization, and sensing.
3D Orientation Estimation with Multiple 5G mmWave Base Stations
We show that the received signals from several base stations, having known positions, can be used to estimate the unknown orientation of the user.
SISO RIS-Enabled Joint 3D Downlink Localization and Synchronization
We consider the problem of joint three-dimensional localization and synchronization for a single-input single-output (SISO) system in the presence of a reconfigurable intelligent surface (RIS), equipped with a uniform planar array.
Signal Processing Information Theory Information Theory
RIS-aided Joint Localization and Synchronization with a Single-Antenna MmWave Receiver
However, for MISO systems synchronization cannot be performed jointly with user localization unless two-way transmissions are used.
Leveraging Location Information for RIS-aided mmWave MIMO Communications
Location information offered by external positioning systems, e. g., satellite navigation, can be used as prior information in the process of beam alignment and channel parameter estimation for reconfigurable intelligent surface (RIS)-aided millimeter wave (mmWave) multiple-input multiple-output networks.
Near-field Localization with a Reconfigurable Intelligent Surface Acting as Lens
Exploiting wavefront curvature enables localization with limited infrastructure and hardware complexity.
Signal Processing Information Theory Information Theory
Beyond 5G Wireless Localization with Reconfigurable Intelligent Surfaces
5G radio positioning exploits information in both angle and delay, by virtue of increased bandwidth and large antenna arrays.
Downlink Single-Snapshot Localization and Mapping with a Single-Antenna Receiver
5G mmWave MIMO systems enable accurate estimation of the user position and mapping of the radio environment using a single snapshot when both the base station (BS) and user are equipped with large antenna arrays.
Channel Estimation for RIS-Aided mmWave MIMO Systems via Atomic Norm Minimization
A reconfigurable intelligent surface (RIS) can shape the radio propagation environment by virtue of changing the impinging electromagnetic waves towards any desired directions, thus, breaking the general Snell's reflection law.
Signal Processing Information Theory Information Theory
Exploiting Diffuse Multipath in 5G SLAM
5G millimeter wave (mmWave) signals can be used to jointly localize the receiver and map the propagation environment in vehicular networks, which is a typical simultaneous localization and mapping (SLAM) problem.
6G White Paper on Localization and Sensing
This white paper concludes by highlighting foundational research challenges, as well as implications and opportunities related to privacy, security, and trust.
Benchmarking End-to-end Learning of MIMO Physical-Layer Communication
End-to-end data-driven machine learning (ML) of multiple-input multiple-output (MIMO) systems has been shown to have the potential of exceeding the performance of engineered MIMO transceivers, without any a priori knowledge of communication-theoretic principles.
Residual Neural Networks for Digital Predistortion
Tracking the nonlinear behavior of an RF power amplifier (PA) is challenging.
Radio Localization and Mapping with Reconfigurable Intelligent Surfaces
5G radio at millimeter wave (mmWave) and beyond 5G concepts at 0. 1-1 THz can exploit angle and delay measurements for localization, by the virtue of increased bandwidth and large antenna arrays but are limited in terms of blockage caused by obstacles.
Bayesian Linear Regression on Deep Representations
A simple approach to obtaining uncertainty-aware neural networks for regression is to do Bayesian linear regression (BLR) on the representation from the last hidden layer.
5G mmWave Cooperative Positioning and Mapping using Multi-Model PHD Filter and Map Fusion
5G millimeter wave (mmWave) signals can enable accurate positioning in vehicular networks when the base station (BS) and vehicles are equipped with large antenna arrays.
Near-Field Joint Localization and Synchronization
In 5G communication, linear and planar arrays are used for both positioning and communication.
Learning Physical-Layer Communication with Quantized Feedback
A novel quantization method is proposed, which exploits the specific properties of the feedback signal and is suitable for non-stationary signal distributions.
A Simple Method for 5G Positioning and Synchronization without Line-of-Sight
In 5G mmWave, joint positioning and synchronization can be achieved even when the line-of-sight path is blocked.
Signal Processing
Achievable Information Rates for Nonlinear Fiber Communication via End-to-end Autoencoder Learning
Machine learning is used to compute achievable information rates (AIRs) for a simplified fiber channel.
