Digital Post-Distortion Architectures for Nonlinear Power Amplifiers: Volterra and Kernel Methods
In modern 5G UEs, the PA consumes large amounts of power. However, there is a trade-off between power efficiency and nonlinear distortion. This study explores digital post-distortion to address PA nonlinearities at the base station. We take a...
Waveform Design for Simultaneous MIMO Radar Sensing and Multi-User Communication
This work introduces a two-stage waveform design framework for multi-antenna integrated sensing and communication systems. By optimizing radar beampatterns and communication signals under practical constraints, the proposed method achieves...
RIPE: Reinforcement Learning on Unlabeled Image Pairs for Robust Keypoint Extraction
We introduce RIPE, an innovative reinforcement learning-based framework for weakly-supervised training of a keypoint extractor that excels in both detection and description tasks. In contrast to conventional training regimes that depend heavily...
Design and Validation of a Time Domain Correlation based Channel Sounder up to 500 GHz
In this paper, we introduce a novel time domain correlation based channel sounder that operates at 485 GHz.
Live Demonstration of Modulation Format Identification Using a Photonic Neural Network
We demonstrate modulation format identification on a micro ROADM ring using a photonic neural network with low-speed photodiodes.
Real-time Fusion of Stereo Vision and Hyperspectral Imaging for Objective Decision Support during Surgery
We present a real-time stereo hyperspectral imaging system that combines 3D reconstruction with spectral tissue analysis, enabling live visualization of oxygenation and tissue composition during surgery.
NOBS: A Data-Sovereign Telemetry and Monitoring Framework for 6G Networks
In this paper, we present the Network Observability Platform (NOBS), a data-sovereign telemetry and monitoring framework designed to meet the primary needs of multi-vendor packet-optical networks in the Sixth Generation (6G) era. NOBS supports...
Resilience Enhancement of Optical Network-Cloud Ecosystems with Dataspace Framework and Multi-entity Cooperation (Invited)
To enhance the resilience of network-cloud ecosystems, we establish a data governance framework for sharing optical testbed data across organizations and fostering machine learning research of optical networks. We further introduce multientity...
Linear Phase Beampattern Design with Set-theoretic Methods
This paper investigates the potential to approximate a nonconvex beampattern design problem with constraints in the angular domain via a restriction to a convex subset of the feasible region. Simulations show that that imposing this convex...
D-Band Adaptive Beamforming for 6G Sub-THz Communications: Feasibility and Experimental Results
Making sub-Terahertz frequencies usable in future mobile radio networks such as 6G requires adaptive beamforming techniques. Using newly developed D-band front ends, we present first experimental evidence for the feasibility of this approach.