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Found 61 papers, 3 papers with code
Pilot-Based End-to-End Radio Positioning and Mapping for ISAC: Beyond Point-Based Landmarks
Integrated sensing and communication enables simultaneous communication and sensing tasks, including precise radio positioning and mapping, essential for future 6G networks.
Network-Level ISAC Design: State-of-the-Art, Challenges, and Opportunities
The ultimate goal of integrated sensing and communication (ISAC) deployment is to provide coordinated sensing and communication services at an unprecedented scale.
Hybrid Beamforming for RIS-Assisted Multiuser Fluid Antenna Systems
Recent advances in reconfigurable antennas have led to the new concept of the fluid antenna system (FAS) for shape and position flexibility, as another degree of freedom for wireless communication enhancement.
Integrated Sensing and Communications Over the Years: An Evolution Perspective
Integrated Sensing and Communications (ISAC) enables efficient spectrum utilization and reduces hardware costs for beyond 5G (B5G) and 6G networks, facilitating intelligent applications that require both high-performance communication and precise sensing capabilities.
Over-the-Air Time-Frequency Synchronization in Distributed ISAC Systems
We analyze the Cramer-Rao bounds (CRBs) for TO and CFO estimates and evaluate the impact of D-ISAC synchronization on the bottom-line target localization performance.
Net-Zero Integrated Sensing and Communication in Backscatter Systems
Future wireless networks targeted for improving spectral and energy efficiency, are expected to simultaneously provide sensing functionality and support low-power communications.
Latency-Aware Resource Allocation for Integrated Communications, Computation, and Sensing in Cell-Free mMIMO Systems
In this paper, we investigate a cell-free massive multiple-input and multiple-output (MIMO)-enabled integration communication, computation, and sensing (ICCS) system, aiming to minimize the maximum computation latency to guarantee the stringent sensing requirements.
Affine Frequency Division Multiplexing: Extending OFDM for Scenario-Flexibility and Resilience
Next-generation wireless networks are conceived to provide reliable and high-data-rate communication services for diverse scenarios, such as vehicle-to-vehicle, unmanned aerial vehicles, and satellite networks.
Signaling Design for Noncoherent Distributed Integrated Sensing and Communication Systems
The ultimate goal of enabling sensing through the cellular network is to obtain coordinated sensing of an unprecedented scale, through distributed integrated sensing and communication (D-ISAC).
Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC
We propose two cooperative beamforming frameworks based on federated learning (FL) for multi-cell integrated sensing and communications (ISAC) systems.
Uncovering the Iceberg in the Sea: Fundamentals of Pulse Shaping and Modulation Design for Random ISAC Signals
This paper provides a comprehensive analysis of the sensing performance of such communication-centric ISAC signals, with a focus on modulation and pulse shaping design to reshape the statistical properties of their auto-correlation functions (ACFs), thereby improving the target ranging performance.
Antenna Health-Aware Selective Beamforming for Hardware-Constrained DFRC Systems I
This paper addresses the optimization challenges in dual-functional radar-communication (DFRC) systems with a focus on array selection and beamforming in dynamic and heterogeneous operational contexts.
Antenna Health-Aware Selective Beamforming for Hardware-Constrained DFRC Systems II
This study introduces an innovative beamforming design approach that incorporates the reliability of antenna array elements into the optimization process, termed "antenna health-aware selective beamforming".
Optimizing Fingerprint-Spectrum-Based Synchronization in Integrated Sensing and Communications
Hence, we set out to find superior window functions capable of improving the performance of CFO and TO estimation algorithms.
Clutter Suppression, Time-Frequency Synchronization, and Sensing Parameter Association in Asynchronous Perceptive Vehicular Networks
To overcome these challenges, 1) we introduce a moving target indication based joint clutter suppression and sensing algorithm, and analyze its clutter-suppression performance and the Cramer-Rao lower bound of the paired range-velocity estimation upon using the proposed clutter suppression algorithm; 2) we design algorithms for associating individual direction-of-arrival estimates with the paired range-velocity estimates based on "domain transformation"; 3) we propose the first viable carrier frequency offset (CFO) and time offset (TO) estimation algorithm that supports passive vehicular sensing in non-line-of-sight environments.
Windowing Optimization for Fingerprint-Spectrum-Based Passive Sensing in Perceptive Mobile Networks
Perceptive mobile networks (PMN) have been widely recognized as a pivotal pillar for the sixth generation (6G) mobile communication systems.
Symbol-Level Precoding for Near-Field ISAC
The forthcoming 6G and beyond wireless networks are anticipated to introduce new groundbreaking applications, such as Integrated Sensing and Communications (ISAC), potentially leveraging much wider bandwidths at higher frequencies and using significantly larger antenna arrays at base stations.
Pulse Shaping for Random ISAC Signals: The Ambiguity Function Between Symbols Matters
Integrated sensing and communications (ISAC) has emerged as a pivotal enabling technology for next-generation wireless networks.
On the Fundamental Trade-Offs of Time-Frequency Resource Distribution in OFDMA ISAC
In response to this problem, we first formulate the theoretical relationship between frequency domain subcarrier distribution and the range Cram\'er-Rao bound (CRB), and time domain sensing symbol distribution and the velocity CRB, as well as between subcarrier distribution and achievable communication rates in narrowband systems.
A New Solution for MU-MISO Symbol-Level Precoding: Extrapolation and Deep Unfolding
In this paper, we propose a symbol-level extrapolation (SLE) strategy to extrapolate the precoding matrix by leveraging the relationship between different symbol slots within in a transmission block, during which the channel state information (CSI) remains constant, where we design a closed-form iterative algorithm based on SLE for both PSK and QAM modulation.
Cooperative ISAC Networks: Opportunities and Challenges
The integration of sensing and communication (ISAC) emerges as a cornerstone technology for the forth upcoming sixth generation era, seamlessly incorporating sensing functionality into wireless networks as a native capability.
Shifting the ISAC Trade-Off with Fluid Antenna Systems
As an emerging antenna technology, a fluid antenna system (FAS) enhances spatial diversity to improve both sensing and communication performance by shifting the active antennas among available ports.
Frame Structure and Protocol Design for Sensing-Assisted NR-V2X Communications
In this study, we propose novel frame structures that incorporate ISAC signals for three crucial stages in the NR-V2X system: initial access, connected mode, and beam failure and recovery.
Novel KLD-based Resource Allocation for Integrated Sensing and Communication
In this paper, we introduce a novel resource allocation approach for integrated sensing-communication (ISAC) using the Kullback-Leibler divergence (KLD) metric.
Securing the Sensing Functionality in ISAC Networks: An Artificial Noise Design
Integrated sensing and communications (ISAC) systems employ dual-functional signals to simultaneously accomplish radar sensing and wireless communication tasks.
Intelligent Surface Empowered Integrated Sensing and Communication: From Coexistence to Reciprocity
Integrated sensing and communication (ISAC) has attracted growing interests for sixth-generation (6G) and beyond wireless networks.
Robust NOMA-assisted OTFS-ISAC Network Design with 3D Motion Prediction Topology
This paper proposes a novel non-orthogonal multiple access (NOMA)-assisted orthogonal time-frequency space (OTFS)-integrated sensing and communication (ISAC) network, which uses unmanned aerial vehicles (UAVs) as air base stations to support multiple users.
Towards Structural Sparse Precoding: Dynamic Time, Frequency, Space, and Power Multistage Resource Programming
This requires multistage optimization for full resource domain dynamic programming.
Robust Joint Active-Passive Beamforming Design for IRS-Assisted ISAC Systems
A low complexity and efficient joint optimization of transmit beamforming at the BS and reflective beamforming at the IRS is proposed.
Energy-Efficient Beamforming Design for Integrated Sensing and Communications Systems
In this paper, we investigate the design of energy-efficient beamforming for an ISAC system, where the transmitted waveform is optimized for joint multi-user communication and target estimation simultaneously.
Faster-Than-Nyquist Symbol-Level Precoding for Wideband Integrated Sensing and Communications
In this paper, we present an innovative symbol-level precoding (SLP) approach for a wideband multi-user multi-input multi-output (MU-MIMO) downlink Integrated Sensing and Communications (ISAC) system employing faster-than-Nyquist (FTN) signaling.
Towards ISAC-Empowered Vehicular Networks: Framework, Advances, and Opportunities
Connected and autonomous vehicle (CAV) networks face several challenges, such as low throughput, high latency, and poor localization accuracy.
ISAC-Enabled V2I Networks Based on 5G NR: How Much Can the Overhead Be Reduced?
The emergence of the fifth-generation (5G) New Radio (NR) brings additional possibilities to vehicle-to-everything (V2X) network with improved quality of services.
Robust Symbol Level Precoding for Overlay Cognitive Radio Networks
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.
RIS-assisted Integrated Sensing and Communications: A Subspace Rotation Approach
We first show that the sensing and communication (S&C) performance can be jointly improved due to the capability of the RISs to control the ISAC channel.
Sensing-Assisted Eavesdropper Estimation: An ISAC Breakthrough in Physical Layer Security
Using the resulting information about potential Eves, we formulate secrecy rate expressions, that are a function of the Eves' estimation accuracy.
Seventy Years of Radar and Communications: The Road from Separation to Integration
Radar and communications (R&C) as key utilities of electromagnetic (EM) waves have fundamentally shaped human society and triggered the modern information age.
Energy-Efficient Trajectory Design of a Multi-IRS Assisted Portable Access Point
In this work, we propose a framework for energy-efficient trajectory design of an unmanned aerial vehicle (UAV)-based portable access point (PAP) deployed to serve a set of ground nodes (GNs).
ISAC from the Sky: UAV Trajectory Design for Joint Communication and Target Localization
In this paper, we consider an airborne integrated sensing and communications (ISAC) system where a UAV, which acts both as a communication BS and a mono-static radar, flies over a given area to transmit downlink signal to a ground communication user.
Vehicular Connectivity on Complex Trajectories: Roadway-Geometry Aware ISAC Beam-tracking
In this paper, we propose sensing-assisted beamforming designs for vehicles on arbitrarily shaped roads by relying on integrated sensing and communication (ISAC) signalling. Specifically, we aim to address the limitations of conventional ISAC beam-tracking schemes that do not apply to complex road geometries.
An Experimental Proof of Concept for Integrated Sensing and Communications Waveform Design
This experimental work focuses on a dual-functional radar sensing and communication framework where a single radiation waveform, either omnidirectional or directional, can realize both radar sensing and communication functions.
Pre-scaling and Codebook Design for Joint Radar and Communication Based on Index Modulation
This paper develops an efficient index modulation (IM) approach for the joint radar-communication (JRC) system based on a multi-carrier multiple-input multiple-output (MIMO) radar.
Integrated Sensing and Communications for V2I Networks: Dynamic Predictive Beamforming for Extended Vehicle Targets
The first stage is exploited for ISAC transmission, where a wide beam is adopted for both communication and sensing.
Learning-Based Symbol Level Precoding: A Memory-Efficient Unsupervised Learning Approach
Symbol level precoding (SLP) has been proven to be an effective means of managing the interference in a multiuser downlink transmission and also enhancing the received signal power.
An Unsupervised Deep Unfolding Framework for robust Symbol Level Precoding
Symbol Level Precoding (SLP) has attracted significant research interest due to its ability to exploit interference for energy-efficient transmission.
A Memory-Efficient Learning Framework for SymbolLevel Precoding with Quantized NN Weights
Our results show that while SLP-DNet provides near-optimal performance, its quantized versions through SQ yield 3. 46x and 2. 64x model compression for binary-based and ternary-based SLP-SQDNets, respectively.
MIMO-OFDM Dual-Functional Radar-Communication Systems: Low-PAPR Waveform Design
In this paper, we explore a dual-functional radar-communication (DFRC) system for achieving integrated sensing and communications (ISAC).
Physical Layer Anonymous Precoding: The Path to Privacy-Preserving Communications
In contrast to traditional security and privacy designs that aim to prevent confidential information from being eavesdropped upon by adversaries, or learned by unauthorized parties, in this paper we consider designs that mask the users' identities during communication, hence resulting in anonymous communications.
Integrated Sensing and Communications: Towards Dual-functional Wireless Networks for 6G and Beyond
As the standardization of 5G is being solidified, researchers are speculating what 6G will be.
Towards Multi-Functional 6G Wireless Networks: Integrating Sensing, Communication and Security
At the same time, the sensing capability incorporated in the ISAC transmission offers unique opportunities to design secure ISAC techniques.
Secure Dual-Functional Radar-Communication Transmission: Exploiting Interference for Resilience Against Target Eavesdropping
We study security solutions for dual-functional radar communication (DFRC) systems, which detect the radar target and communicate with downlink cellular users in millimeter-wave (mmWave) wireless networks simultaneously.
Secure Dual-Functional Radar-Communication System via Exploiting Known Interference in the Presence of Clutter
This paper addresses the problem that designing the transmit waveform and receive beamformer aims to maximize the receive radar SINR for secure dual-functional radar-communication (DFRC) systems, where the undesired multi-user interference (MUI) is transformed to useful power.
An Unsupervised Learning-Based Approach for Symbol-Level-Precoding
This paper proposes an unsupervised learning-based precoding framework that trains deep neural networks (DNNs) with no target labels by unfolding an interior point method (IPM) proximal `log' barrier function.
Hardware Efficient Joint Radar-Communications with Hybrid Precoding and RF Chain Optimization
In this paper, we aim to achieve energy efficient design with minimum hardware requirement for hybrid precoding, which enables a large number of antennas with minimal number of RF chains, and sub-arrayed multiple-input multiple-output (MIMO) radar based joint radar-communication (JRC) systems.
Rate-Splitting Multiple Access for Joint Radar-Communications with Low-Resolution DACs
In this paper, we introduce the design of a multi-antenna Joint Radar-Communication (JRC) system with Rate Splitting Multiple Access (RSMA) and low resolution Digital-to-Analog Converter (DAC) units.
An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing
Joint communication and radar sensing (JCR) represents an emerging research field aiming to integrate the above two functionalities into a single system, sharing a majority of hardware and signal processing modules and, in a typical case, sharing a single transmitted signal.
Reconfigurable Intelligent Surface Aided Mobile Edge Computing: From Optimization-Based to Location-Only Learning-Based Solutions
In this paper, we explore optimization-based and data-driven solutions in a reconfigurable intelligent surface (RIS)-aided multi-user mobile edge computing (MEC) system, where the user equipment (UEs) can partially offload their computation tasks to the access point (AP).
Cramér-Rao Bound Optimization for Joint Radar-Communication Design
We employ the Cram\'er-Rao bound (CRB) as a performance metric of target estimation, under both point and extended target scenarios.
Learning to Select for MIMO Radar based on Hybrid Analog-Digital Beamforming
In this paper, we propose an energy-efficient radar beampattern design framework for a Millimeter Wave (mmWave) massive multi-input multi-output (mMIMO) system, equipped with a hybrid analog-digital (HAD) beamforming structure.
Bayesian Predictive Beamforming for Vehicular Networks: A Low-overhead Joint Radar-Communication Approach
To accurately estimate the motion parameters of vehicles in real-time, we propose a novel message passing algorithm based on factor graph, which yields near optimal solution to the maximum a posteriori estimation.
Complexity-Scalable Neural Network Based MIMO Detection With Learnable Weight Scaling
This paper introduces a framework for systematic complexity scaling of deep neural network(DNN) based MIMO detectors.
