Search Results for author:
Found 10 papers, 0 papers with code
Multi-Target Localization in Multi-Static Integrated Sensing and Communication Deployments
In contrast, in this work we propose an ensemble of techniques for processing the information gathered from multiple sensing nodes, jointly observing an environment with multiple targets.
Minimizing Energy Consumption in MU-MIMO via Antenna Muting by Neural Networks with Asymmetric Loss
In this paper, we consider the downlink transmission of an MU-MIMO network where TAM is formulated to minimize the number of active antennas in the BS while guaranteeing the per-user throughput requirements.
CRAP: Clutter Removal with Acquisitions Under Phase Noise
One of those is clutter removal, which should be applied to remove the influence of unwanted components, scattered by the environment, in the acquired sensing signal.
Survey on Integrated Sensing and Communication Performance Modeling and Use Cases Feasibility
As the research community starts to address the* key features of 6G cellular standards, one of the agreed bridge topics to be studied already in 5G advanced releases is Integrated Sensing and Communication (ISAC).
6G Integrated Sensing and Communication: From Vision to Realization
Integrated sensing and communications (ISAC) will be deployed into cellular communication systems possibly already with 5G-A and surely in 6G.
Jamming Resilient Indoor Factory Deployments: Design and Performance Evaluation
In the framework of 5G-and-beyond Industry 4. 0, jamming attacks for denial of service are a rising threat which can severely compromise the system performance.
Explicit CSI Feedback Compression via Learned Approximate Message Passing
Explicit channel state information at the transmitter side is helpful to improve downlink precoding performance for multi-user MIMO systems.
Blind Coherent Preamble Detection via Neural Networks
Instead, we propose to use NN only for \textit{blind} coherent combining of the signals in the detector to compensate for the channel effect, thus maximize the signal to noise ratio.
Jamming Detection With Subcarrier Blanking for 5G and Beyond in Industry 4.0 Scenarios
Security attacks at the physical layer, in the form of radio jamming for denial of service, are an increasing threat in the Industry 4. 0 scenarios.
Turbo-AI: Iterative Machine Learning Based Channel Estimation for 2D Massive Arrays
Furthermore, we propose an iterative training approach, referred to as Turbo-AI.
