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Found 51 papers, 2 papers with code
Deep Unfolding-Empowered MmWave Massive MIMO Joint Communications and Sensing
We first derive closed-form expressions for the gradients of the communications sum rate and sensing beampattern error with respect to the analog and digital precoders.
Performance Analysis and Power Allocation for Massive MIMO ISAC Systems
Furthermore, we devise a power allocation strategy based on successive convex approximation to maximize the communications rate while guaranteeing the CRLB constraints and transmit power budget.
Multi-Static Cell-Free Massive MIMO ISAC: Performance Analysis and Power Allocation
In this work, we consider a cell-free massive multiple-input multiple-output (MIMO) integarted sensing and communications (ISAC) system with maximum-ratio transmission schemes combined with multistatic radar-type sensing.
Digital and Hybrid Precoding Designs in Massive MIMO with Low-Resolution ADCs
Low-resolution analog-to-digital converters (ADCs) have emerged as an efficient solution for massive multiple-input multiple-output (MIMO) systems to reap high data rates with reasonable power consumption and hardware complexity.
Model-Based Machine Learning for Max-Min Fairness Beamforming Design in JCAS Systems
Joint communications and sensing (JCAS) is expected to be a crucial technology for future wireless systems.
Hybrid Receiver Design for Massive MIMO-OFDM with Low-Resolution ADCs and Oversampling
Furthermore, the results show that the proposed hybrid receiver design with oversampling can achieve significantly higher energy efficiency compared to the digital one.
Joint Beamforming Design and Bit Allocation in Massive MIMO with Resolution-Adaptive ADCs
Numerical results for a $64 \times 64$ MIMO system demonstrate that the proposed design offers $6\%$ improvement in both SE and EE with $40\%$ fewer active ADC bits compared with the uniform bit allocation.
Sequential MAP Parametric OFDM Channel Estimation for Joint Sensing and Communication
Uplink sensing is still a relatively unexplored scenario in integrated sensing and communication which can be used to improve positioning and sensing estimates.
Doppler-Robust Maximum Likelihood Parametric Channel Estimation for Multiuser MIMO-OFDM
The high directionality and intense Doppler effects of millimeter wave (mmWave) and sub-terahertz (subTHz) channels demand accurate localization of the users and a new paradigm of channel estimation.
Performance of UAV-based Cell-free mMIMO ISAC Networks: Tethered vs. Mobile
The employment of unmanned aerial vehicles (UAVs) aligned with multistatic sensing in integrated sensing and communication (ISAC) systems can provide remarkable performance gains in sensing, by taking advantage of the cell-free massive multiple-input multiple-output (mMIMO) architecture.
Low-Complexity Near-Field Channel Estimation for Hybrid RIS Assisted Systems
We investigate the channel estimation (CE) problem for hybrid RIS assisted systems and focus on the near-field (NF) regime.
Device Detection and Channel Estimation in MTC with Correlated Activity Pattern
This paper provides a solution for the activity detection and channel estimation problem in grant-free access with correlated device activity patterns.
Hierarchical MTC User Activity Detection and Channel Estimation with Unknown Spatial Covariance
To solve the JUICE problem, we first leverage the concept of strong priors and propose a hierarchical-sparsity-inducing spike-and-slab prior to model the structured sparse activity pattern.
Multi-Static ISAC in Cell-Free Massive MIMO: Precoder Design and Privacy Assessment
A multi-static sensing-centric integrated sensing and communication (ISAC) network can take advantage of the cell-free massive multiple-input multiple-output infrastructure to achieve remarkable diversity gains and reduced power consumption.
Multi UAV-enabled Distributed Sensing: Cooperation Orchestration and Detection Protocol
This paper proposes an unmanned aerial vehicle (UAV)-based distributed sensing framework that uses orthogonal frequency-division multiplexing (OFDM) waveforms to detect the position of a ground target, and UAVs operate in half-duplex mode.
Terahertz Communications and Sensing for 6G and Beyond: A Comprehensive Review
Different from earlier surveys, this paper presents a comprehensive treatment and technology survey on THz communications and sensing in terms of advantages, applications, propagation characterization, channel modeling, measurement campaigns, antennas, transceiver devices, beamforming, networking, the integration of communications and sensing, and experimental testbeds.
Analysis of Oversampling in Uplink Massive MIMO-OFDM with Low-Resolution ADCs
In particular, we demonstrate that oversampling can effectively improve the sum rate by mitigating the impact of the quantization distortion, especially at high SNR and with very low ADC resolution.
Deep Unfolding Enabled Constant Modulus Waveform Design for Joint Communications and Sensing
The conventional branch-and-bound (BnB) method can achieve optimal solution but at the cost of exponential complexity and long run time.
AI-Empowered Hybrid MIMO Beamforming
We discuss the architectural constraints and characterize the core challenges associated with hybrid beamforming optimization.
A Framework for UAV-based Distributed Sensing Under Half-Duplex Operation
The area of interest, where the target is located, is sectioned into a grid of cells, where the radar cross-section (RCS) of every cell is jointly estimated by the UAVs, and a central node acts as a fusion center by receiving all the estimations and performing information-level fusion.
Privacy Performance of MIMO Dual-Functional Radar-Communications with Internal Adversary
Besides the challenges associated with the conciliation of the conflicting requirements to perform wireless communication and radar sensing in a real-time cooperation, privacy issues represent a cause of concern as the co-design can let the network prone to active attacks.
Network-Aided Intelligent Traffic Steering in 6G O-RAN: A Multi-Layer Optimization Framework
To enable an intelligent, programmable and multi-vendor radio access network (RAN) for 6G networks, considerable efforts have been made in standardization and development of open RAN (O-RAN).
Joint Estimation of Clustered User Activity and Correlated Channels with Unknown Covariance in mMTC
This paper considers joint user identification and channel estimation (JUICE) in grant-free access with a \emph{clustered} user activity pattern.
Switch-based Hybrid Beamforming Transceiver Design for Wideband Communications with Beam Squint
Simulations show that the proposed SW-HBF schemes are efficient and can outperform PS-based HBF architectures in terms of both SE and energy efficiency in terahertz communication systems.
Joint Coherent and Non-Coherent Detection and Decoding Techniques for Heterogeneous Networks
Cellular networks that are traditionally designed for human-type communication (HTC) have the potential to provide cost effective connectivity to machine-type communication (MTC).
Terahertz Communications for 6G and Beyond Wireless Networks: Challenges, Key Advancements, and Opportunities
The unprecedented increase in wireless data traffic, predicted to occur within the next decade, is motivating academia and industries to look beyond contemporary wireless standards and conceptualize the sixth-generation (6G) wireless networks.
Leveraging Deep Neural Networks for Massive MIMO Data Detection
Massive multiple-input multiple-output (MIMO) is a key technology for emerging next-generation wireless systems.
Channel Charting Aided Pilot Reuse for Massive MIMO Systems with Spatially Correlated Channels
Massive multiple-input multiple-output (mMIMO) technology is a way to increase the spectral efficiency of machine-type communications (MTC).
Power Control for Multigroup Multicast Cell-Free Massive MIMO Downlink
We consider a multigroup multicast cell-free multiple-input multiple-output (MIMO) downlink system with short-term power constraints.
User Activity Detection and Channel Estimation of Spatially Correlated Channels via AMP in Massive MTC
This paper addresses the problem of joint user identification and channel estimation (JUICE) for grant-free access in massive machine-type communications (mMTC).
Switch-based Hybrid Beamforming for Wideband Multi-carrier Communications
Switch-based hybrid beamforming (SW-HBF) architectures are promising for realizing massive multiple-input multiple-output (MIMO) communications systems because of their low cost and low power consumption.
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.
Closed-Form Hybrid Beamforming Solution for Spectral Efficiency Upper Bound Maximization in mmWave MIMO-OFDM Systems
Hybrid beamforming is considered a key enabler to realize millimeter wave (mmWave) multiple-input multiple-output (MIMO) communications due to its capability of considerably reducing the number of costly and power-hungry radio frequency chains in the transceiver.
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.
Two-Stage Channel Estimation for Hybrid RIS Assisted MIMO Systems
Reconfigurable intelligent surfaces (RISs) have been proposed as a key enabler to improve the coverage of the signals and mitigate the frequent blockages in millimeter wave (mmWave) multiple-input multiple-output (MIMO) communications.
Channel Estimation for Hybrid RIS Aided MIMO Communications via Atomic Norm Minimization
Reconfigurable intelligent surfaces (RISs) have been introduced as a remedy for mitigating frequent blockages in millimeter wave (mmWave) multiple-input multiple-output (MIMO) communication networks.
Spectral Efficiency Optimization for Hybrid Relay-Reflecting Intelligent Surface
We propose a novel concept of hybrid relay-reflecting intelligent surface (HR-RIS), in which a single or few elements are deployed with power amplifiers (PAs) to serve as active relays, while the remaining elements only reflect the incident signals.
Machine Learning-based Reconfigurable Intelligent Surface-aided MIMO Systems
Reconfigurable intelligent surface (RIS) technology has recently emerged as a spectral- and cost-efficient approach for wireless communications systems.
Exploiting Spatial Correlation for Pilot Reuse in Single-Cell mMTC
This work addresses the design of channel features from correlated fading channels to assist the pilot assignment in multi-sector mMTC systems under pilot reuse of orthogonal sequences.
Coverage Analysis for 3D Terahertz Communication Systems
We conduct novel coverage probability analysis of downlink transmission in a three-dimensional (3D) terahertz (THz) communication (THzCom) system.
Spatial Correlation Aware Compressed Sensing for User Activity Detection and Channel Estimation in Massive MTC
First, for the case without prior information, we formulate the JUICE as an iterative reweighted $\ell_{2, 1}$-norm minimization problem.
Channel Estimation and Hybrid Architectures for RIS-Assisted Communications
Reconfigurable intelligent surfaces (RISs) are considered as potential technologies for the upcoming sixth-generation (6G) wireless communication system.
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.
Iterative Reweighted Algorithms for Joint User Identification and Channel Estimation in Spatially Correlated Massive MTC
Joint user identification and channel estimation (JUICE) is a main challenge in grant-free massive machine-type communications (mMTC).
Hybrid Relay-Reflecting Intelligent Surface-Assisted Wireless Communication
The simulation results show that a significant improvement in both the spectral efficiency (SE) and energy efficiency (EE) with respect to the conventional RIS-aided system can be attained by the proposed schemes, especially, by the dynamic HR-RIS.
Latency Minimization in Intelligent Reflecting Surface Assisted D2D Offloading Systems
In this letter, we investigate an intelligent reflecting surface (IRS) aided device-to-device (D2D) offloading system, where an IRS is employed to assist in computation offloading from a group of users with intensive tasks to another group of idle users.
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.
Passive RIS vs.Hybrid RIS: A Comparative Study on Channel Estimation
The reconfigurable intelligent surface (RIS) plays an important role in maintaining the connectivity in millimeter wave (mmWave) MIMO systems when the direct channel between the transceivers is blocked.
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
Challenges of AI in Wireless Networks for IoT
The Internet of Things (IoT), hailed as the enabler of the next industrial revolution, will require ubiquitous connectivity, context-aware and dynamic service mobility, and extreme security through the wireless network infrastructure.
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.
