On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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4 results for “Pathloss”

Physics-informed neural networks for pathloss predictionstat.ML

Physics-informed neural networks improve pathloss prediction accuracy.

problem Improving pathloss prediction accuracy in wireless communications.

method Physics-informed neural networks incorporating physical dependencies and measured values.

result Physics-informed neural networks achieve better generalization and prediction quality with fewer layers and parameters.

pathloss prediction neural networks physics-informed machine learning wireless communications

2022-11-23abs ↗pdf ↗

Real-time Localization Using Radio Mapseess.SP

Paper presents a simple method for accurate user localization in urban areas.

problem Poor GPS performance in dense urban environments.

method Localization based on pathloss using base station signal strengths and RadioUNet approximations.

result Accurate user location extraction in urban environments.

Localization Pathloss RadioUNet Urban Environment Signal Strength

2020-06-09abs ↗pdf ↗

RadioUNet: Fast Radio Map Estimation with Convolutional Neural Networkseess.SP

In this paper we propose a highly efficient and very accurate deep learning method for estimating the propagation pathloss from a point $x$ (transmitter location) to any point $y$ on a planar domain. For applications such as user-cell site association and device-to-device link scheduling, an accurate knowledge of the p…

2019-11-17abs ↗pdf ↗

Learning Based Hybrid Beamforming Design for Full-Duplex Millimeter Wave Systemseess.SP

New learning-based methods improve spectral efficiency in mmWave full-duplex systems.

problem Residual self-interference and high pathloss in mmWave full-duplex systems.

method Proposed two learning schemes (ELM-HBF and CNN-HBF) using ADMM and MM algorithms for SI cancellation and joint HBF optimization.

result Learning-based schemes achieve at least 22.1% higher spectral efficiency and faster online prediction and training times.

mmWave full-duplex self-interference hybrid beamforming spectral efficiency

2020-04-16abs ↗pdf ↗