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Artificial Neural Networks-based Real-time Classification of ENG Signals for Implanted Nerve Interfaces
The design of the ANNs takes advantage of the modelling of the ENG signal as a multiple-input multiple-output (MIMO) system to describe the measures taken by state-of-the-art implanted nerve interfaces.
Exploring ISAC Technology for UAV SAR Imaging
This paper illustrates the potential of an Integrated Sensing and Communication (ISAC) system, operating in the sub-6 GHz frequency range, for Synthetic Aperture Radar (SAR) imaging via an Unmanned Aerial Vehicle (UAV) employed as an aerial base station.
Parametric Channel Estimation with Short Pilots in RIS-Assisted Near- and Far-Field Communications
This paper proposes a parametric maximum likelihood estimation (MLE) framework for jointly estimating the direct channel between the user and the base station (BS) and the line-of-sight channel between the user and the RIS, in both far-field and near-field scenarios.
A New Channel Subspace Characterization for Channel Estimation in RIS-Aided Communications
Reaping the benefits of RIS, however, relies on the accuracy of the channel estimation, which is a challenging task due to the large number of RIS elements.
Intra-Body Communications for Nervous System Applications: Current Technologies and Future Directions
The Internet of Medical Things (IoMT) paradigm will enable next generation healthcare by enhancing human abilities, supporting continuous body monitoring and restoring lost physiological functions due to serious impairments.
A Multi-Modal Simulation Framework to Enable Digital Twin-based V2X Communications in Dynamic Environments
Digital Twins (DTs) for physical wireless environments have been recently proposed as accurate virtual representations of the propagation environment that can enable multi-layer decisions at the physical communication equipment.
IIFNet: A Fusion based Intelligent Service for Noisy Preamble Detection in 6G
We propose an informative instance-based fusion network (IIFNet) to cope with random noise and to improve detection performance, simultaneously.
Localizing the Vehicle's Antenna: an Open Problem in 6G Network Sensing
Moreover, there is not a winning technology for BM between BS-mounted radar and VE's onboard positioning systems.
Dual Domain Waveform Design for Joint Communication and Sensing Systems
The evolution of wireless communication systems towards millimeter-wave ($30-100$ GHz) and sub-THz ($>100$ GHz) frequency bands highlighted the need for accurate and fast beam management and a proactive link-blockage prediction in high-mobility scenarios.
Spatial-Interference Aware Cooperative Resource Allocation for 5G NR Sidelink Communications
Distributed resource allocation (RA) schemes have been introduced in cellular vehicle-to-everything (C-V2X) standard for vehicle-to-vehicle (V2V) sidelink (SL) communications to share the limited spectrum (sub-6GHz) efficiently.
LoS-Map Construction for Proactive Relay of Opportunity Selection in 6G V2X Systems
Recent advances in Vehicle-to-Everything (V2X) technology and the upcoming sixth-generation (6G) network will dawn a new era for vehicular services with enhanced communication capabilities.
Fastening the Initial Access in 5G NR Sidelink for 6G V2X Networks
The ever-increasing demand for intelligent, automated, and connected mobility solutions pushes for the development of an innovative sixth Generation (6G) of cellular networks.
The Capacity of the Amplitude-Constrained Vector Gaussian Channel
The capacity of multiple-input multiple-output additive white Gaussian noise channels is investigated under peak amplitude constraints on the norm of the input vector.
Information Theory Information Theory
