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Found 10 papers, 0 papers with code
Distributed Intelligent Integrated Sensing and Communications: The 6G-DISAC Approach
This paper introduces the concept of Distributed Intelligent integrated Sensing and Communications (DISAC), which expands the capabilities of Integrated Sensing and Communications (ISAC) towards distributed architectures.
RIS-Enabled NLoS Near-Field Joint Position and Velocity Estimation under User Mobility
In the context of single-base station (BS) non-line-of-sight (NLoS) single-epoch localization with the aid of a reflective reconfigurable intelligent surface (RIS), this paper introduces a novel three-step algorithm that jointly estimates the position and velocity of a mobile user equipment (UE), while compensating for the Doppler effects observed in near-field (NF) at the RIS elements over the short transmission duration of a sequence of downlink (DL) pilot symbols.
Sensing of Side Lobes Interference for Blockage Prediction in Dense mmWave Networks
The integration of sensing capability in the design of wireless communication systems is foreseen as a key enabler for efficient radio resource management in next-generation networks.
RIS-aided Positioning Experiments based on mmWave Indoor Channel Measurements
Reconfigurable Intelligent Surfaces (RISs) are announced as a truly transformative technology, capable of smartly shaping wireless environments to optimize next-generation communication networks.
Deep Learning with Partially Labeled Data for Radio Map Reconstruction
In this paper, we address the problem of Received Signal Strength map reconstruction based on location-dependent radio measurements and utilizing side knowledge about the local region; for example, city plan, terrain height, gateway position.
Performance of RIS-Aided Nearfield Localization under Beams Approximation from Real Hardware Characterization
The technology of reconfigurable intelligent surfaces (RIS) has been showing promising potential in a variety of applications relying on Beyond-5G networks.
Leveraging RIS-Enabled Smart Signal Propagation for Solving Infeasible Localization Problems
Reconfigurable intelligent surfaces (RISs) have tremendous potential for both communication and localization.
RIS-Enabled Localization Continuity Under Near-Field Conditions
Reconfigurable intelligent surfaces (RISs) have the potential to enable user localization in scenarios where traditional approaches fail.
Self-Learning for Received Signal Strength Map Reconstruction with Neural Architecture Search
In this paper, we present a Neural Network (NN) model based on Neural Architecture Search (NAS) and self-learning for received signal strength (RSS) map reconstruction out of sparse single-snapshot input measurements, in the case where data-augmentation by side deterministic simulations cannot be performed.
Beamwidth Optimization and Resource Partitioning Scheme for Localization Assisted mm-wave Communications
We study a mm-wave wireless network deployed along the roads of an urban area, to support localization and communication services simultaneously for outdoor mobile users.
