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Found 10 papers, 0 papers with code
Proximal Policy Optimization for Integrated Sensing and Communication in mmWave Systems
In wireless communication systems, mmWave beam tracking is a critical task that affects both sensing and communications, as it is related to the knowledge of the wireless channel.
EMF Exposure Mitigation in RIS-Assisted Multi-Beam Communications
This paper proposes a method for reducing {third-party} exposure to electromagnetic fields (EMF) by exploiting the capability of a reconfigurable intelligent surfaces' (RIS) to manipulate the electromagnetic environment.
OnRMap: An Online Radio Mapping Approach for Large Intelligent Surfaces
We introduce OnRMap, an online radio mapping (RMap) approach for the sensing and localization of active users (AUs), devices that are transmitting radio signals, and passive elements (PEs), elements that are in the environment and are illuminated by the AUs' radio signals.
Floor Map Reconstruction Through Radio Sensing and Learning By a Large Intelligent Surface
Environmental scene reconstruction is of great interest for autonomous robotic applications, since an accurate representation of the environment is necessary to ensure safe interaction with robots.
User Clustering for Rate Splitting using Machine Learning
Hierarchical Rate Splitting (HRS) schemes proposed in recent years have shown to provide significant improvements in exploiting spatial diversity in wireless networks and provide high throughput for all users while minimising interference among them.
User Localization using RF Sensing: A Performance comparison between LIS and mmWave Radars
Since electromagnetic signals are omnipresent, Radio Frequency (RF)-sensing has the potential to become a universal sensing mechanism with applications in localization, smart-home, retail, gesture recognition, intrusion detection, etc.
Radio Sensing with Large Intelligent Surface for 6G
This paper leverages the potential of Large Intelligent Surface (LIS) for radio sensing in 6G wireless networks.
Energy-Efficient Design for RIS-assisted UAVcommunications in beyond-5G Networks
The usage of Reconfigurable Intelligent Surfaces (RIS) in conjunction with Unmanned Ariel Vehicles (UAVs) is being investigated as a way to provide energy-efficient communication to ground users in dense urban areas.
Assessing Wireless Sensing Potential with Large Intelligent Surfaces
By treating an LIS as a radio image of the environment relying on the received signal power, we develop techniques to sense the environment, by leveraging the tools of image processing and machine learning.
A Primer on Large Intelligent Surface (LIS) for Wireless Sensing in an Industrial Setting
One of the beyond-5G developments that is often highlighted is the integration of wireless communication and radio sensing.
