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Found 38 papers, 7 papers with code
Complex Neural Network based Joint AoA and AoD Estimation for Bistatic ISAC
Integrated sensing and communication (ISAC) in wireless systems has emerged as a promising paradigm, offering the potential for improved performance, efficient resource utilization, and mutually beneficial interactions between radar sensing and wireless communications, thereby shaping the future of wireless technologies.
A System Level Analysis for Integrated Sensing and Communication
In this work, we provide a system level analysis of integrated sensing and communication (ISAC) systems, where a setup with a mono-static dual-functional radar communication base station is assumed.
On the Performance Analysis of Zero-Padding OFDM for Monostatic ISAC Systems
In particular, we show that the PD expressions lead to an upper bound for the ZP-OFDM transmission, which is useful for selecting the best ZP size for a given system configuration.
RIS-Enabled Integrated Sensing and Communication for 6G Systems
Therefore, this work proposes a localization algorithm tailored for the integrated sensing and communications RIS-aided architecture, which is capable of uniquely positioning targets within the scene.
Secure Full Duplex Integrated Sensing and Communications
Based on the proposed model, we formulate a power efficient secure ISAC optimization framework design, which is intended to guarantee both UL and DL secrecy rates requirements, while illuminating radar beams towards eavesdroppers.
Emergent Communication in Multi-Agent Reinforcement Learning for Future Wireless Networks
In different wireless network scenarios, multiple network entities need to cooperate in order to achieve a common task with minimum delay and energy consumption.
Mutual Information Based Pilot Design for ISAC
The following paper presents a novel orthogonal pilot design dedicated for dual-functional radar and communication (DFRC) systems performing multi-user communications and target detection.
A Novel Satellite Selection Algorithm Using LSTM Neural Networks For Single-epoch Localization
This work presents a new approach for detection and exclusion (or de-weighting) of pseudo-range measurements from the Global Navigation Satellite System (GNSS) in order to improve the accuracy of single-epoch positioning, which is an essential prerequisite for maintaining good navigation performance in challenging operating contexts (e. g., under Non-Line of Sight and/or multipath propagation).
Blind Transmitter Localization Using Deep Learning: A Scalability Study
This work presents an investigation on the scalability of a deep leaning (DL)-based blind transmitter positioning system for addressing the multi transmitter localization (MLT) problem.
Experimental Performance of Blind Position Estimation Using Deep Learning
For obtaining experimental data, we collect power measurements associated with reference positions using a wireless sensor network in an indoor scenario.
SCA-Based Beamforming Optimization for IRS-Enabled Secure Integrated Sensing and Communication
Integrated sensing and communication (ISAC) is expected to be offered as a fundamental service in the upcoming sixth-generation (6G) communications standard.
Deep Learning-based Estimation for Multitarget Radar Detection
Target detection and recognition is a very challenging task in a wireless environment where a multitude of objects are located, whether to effectively determine their positions or to identify them and predict their moves.
Deep Learning Based Channel Estimation in High Mobility Communications Using Bi-RNN Networks
Doubly-selective channel estimation represents a key element in ensuring communication reliability in wireless systems.
Robust Integrated Sensing and Communication Beamforming for Dual-functional Radar and Communications: Method and Insights
This work presents a novel robust beamforming design dedicated for dual-functional radar and communication (DFRC) base stations (BSs) in the context of integrated sensing and communications (ISAC).
On Hybrid Radar Fusion for Integrated Sensing and Communication
The following paper introduces a novel integrated sensing and communication (ISAC) scenario termed hybrid radar fusion.
RIS-Enabled Passive Radar towards Target Localization
In this paper, we study a communication-centric integrated sensing and communication (ISAC) approach, where an access point (AP) communicates with users, while a passive radar (PR) is present in the environment.
Dual-Mode Time Domain Multiplexed Chirp Spread Spectrum
One of these symbols consisting of even and odd frequency shifts (FSs) is chirped using an up-chirp.
On Integrated Sensing and Communication Waveforms with Tunable PAPR
We present a novel approach to the problem of dual-functional radar and communication (DFRC) waveform design with adjustable peak-to-average power ratio (PAPR), while minimizing the multi-user communication interference and maintaining a similarity constraint towards a radar chirp signal.
Chirp Spread Spectrum-based Waveform Design and Detection Mechanisms for LPWAN-based IoT -- A Survey
Despite this, there has been a dearth of research dedicated to enhancing the data transfer capabilities of LoRa until recently, when a plethora of CSS-based PHY layer alternatives to LoRa for LPWANs was proposed.
On Outage-based Beamforming Design for Dual-Functional Radar-Communication 6G Systems
This article studies and derives beamforming design in a dual-functional radar-communication (DFRC) multiple-input-multiple-output system.
A Survey on Deep Learning based Channel Estimation in Doubly Dispersive Environments
Wireless communications systems are impacted by multi-path fading and Doppler shift in dynamic environments, where the channel becomes doubly-dispersive and its estimation becomes an arduous task.
Federated Distillation based Indoor Localization for IoT Networks
Federated distillation (FD) paradigm has been recently proposed as a promising alternative to federated learning (FL) especially in wireless sensor networks with limited communication resources.
A Framework for Amalgamating Optical-OFDM and Optical-OFDM with Index Modulation for Optical Wireless Systems
In this communication, we propose a framework for amalgamating optical-orthogonal frequency-division multiplexing (O-OFDM) and O-OFDM with index modulation (O-OFDM-IM) for optical wireless systems.
Dual-Mode Chirp Spread Spectrum Modulation
The SE increases by up to \(116. 66\%\) for the same bandwidth and spreading factor relative to LoRa.
A Novel Approach for Cancellation of Non-Aligned Inter Spreading Factor Interference in LoRa Systems
In this paper, we analytically model this interference, and propose an interference cancellation method based on the idea of segmentation of the received signal.
Low Complex Methods for Robust Channel Estimation in Doubly Dispersive Environments
Wireless communications play a significant role in facilitating several mobile applications like unmanned aerial vehicles, high-speed railway, and vehicular communications.
Bounds on Power and Common Message Fractions for RSMA with Imperfect SIC
However, it has been shown in the existing works that maximizing the sum rate can result in asymmetric user performance.
Indoor Localization Under Limited Measurements: A Cross-Environment Joint Semi-Supervised and Transfer Learning Approach
Moreover, with only 40% data measurements, the proposed cross-environment approach compensates for data inadequacy and replicates the localization accuracy of the conventional method, CNN, which uses 75% data measurements.
CNN aided Weighted Interpolation for Channel Estimation in Vehicular Communications
IEEE 802. 11p standard defines wireless technology protocols that enable vehicular transportation and manage traffic efficiency.
Channel Estimation for MIMO Space Time Coded OTFS under Doubly Selective Channels
The OTFS modulation has been recently proposed as a robust technique under time varying channels due to its property of spreading the data symbols over time and frequency.
OFDM with Index Modulation in Orbital Angular Momentum Multiplexed Free Space Optical Links
Communication using orbital angular momentum (OAM) modes has recently received a considerable interest in free space optical (FSO) communications.
Alternative Chirp Spread Spectrum Techniques for LPWANs
Chirp spread spectrum (CSS) is the modulation technique currently employed by Long-Range (LoRa), which is one of the most prominent Internet of things wireless communications standards.
Context-Aware Security for 6G Wireless The Role of Physical Layer Security
Sixth generation systems are expected to face new security challenges, while opening up new frontiers towards context awareness in the wireless edge.
Cryptography and Security Signal Processing
Joint TRFI and Deep Learning for Vehicular Channel Estimation
IEEE 802. 11p standard enables the wireless technology that defines vehicular communications.
Adaptive Channel Estimation based on Deep Learning
Channel state information is very critical in various applications such as physical layer security, indoor localization, and channel equalization.
In-phase and Quadrature Chirp Spread Spectrum for IoT Communications
In this paper, we propose a scheme that encodes information bits on both in-phase and quadrature components of the chirp signal, and rather employs a coherent detector at the receiver.
Enhancing Least Square Channel Estimation Using Deep Learning
Least square (LS) channel estimation employed in various communications systems suffers from performance degradation especially in low signal-to-noise ratio (SNR) regions.
Deep Learning Based Channel Estimation Schemes for IEEE 802.11p Standard
IEEE 802. 11p standard is specially developed to define vehicular communications requirements and support cooperative intelligent transport systems.
