A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction

H Lu, C Vattheuer, B Mirzasoleiman, O Abari - arXiv preprint arXiv …, 2024 - arxiv.org
We present NeWRF, a deep learning framework for predicting wireless channels. Wireless
channel prediction is a long-standing problem in the wireless community and is a key …

Unmanned Vehicles in 6G Networks: A Unifying Treatment of Problems, Formulations, and Tools

W Hurst, S Evmorfos, A Petropulu, Y Mostofi - arXiv preprint arXiv …, 2024 - arxiv.org
Unmanned Vehicles (UVs) functioning as autonomous agents are anticipated to play a
crucial role in the 6th Generation of wireless networks. Their seamless integration, cost …

MPCOM: Robotic Data Gathering with Radio Mapping and Model Predictive Communication

Z Ji, G Li, R Han, S Wang, B Bai, W Xu, K Ye… - arXiv preprint arXiv …, 2024 - arxiv.org
Robotic data gathering (RDG) is an emerging paradigm that navigates a robot to harvest
data from remote sensors. However, motion planning in this paradigm needs to maximize …