NeRF2: Neural Radio-Frequency Radiance Fields

Xiaopeng Zhao, Zhenlin An, Qingrui Pan, Lei Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Although Maxwell discovered the physical laws of electromagnetic waves 160 years ago, how to precisely model the propagation of an RF signal in an electrically large and complex environment remains a long-standing problem. The difficulty is in the complex interactions between the RF signal and the obstacles (e.g., reflection, diffraction, etc.). Inspired by the great success of using a neural network to describe the optical field in computer vision, we propose a neural radio-frequency radiance field, NeRF2, which represents a continuous volumetric scene function that makes sense of an RF signal's propagation. Particularly, after training with a few signal measurements, NeRF2 can tell how/what signal is received at any position when it knows the position of a transmitter. As a physical-layer neural network, NeRF2 can take advantage of the learned statistic model plus the physical model of ray tracing to generate a synthetic dataset that meets the training demands of application-layer artificial neural networks (ANNs). Thus, we can boost the performance of ANNs by the proposed turbo-learning, which mixes the true and synthetic datasets to intensify the training. Our experiment results show that turbo-learning can enhance performance with an approximate 50% increase. We also demonstrate the power of NeRF2 in the field of indoor localization and 5G MIMO.
Original languageEnglish
Title of host publicationThe 29th Annual International Conference on Mobile Computing and Networking (ACM MobiCom ’23)
Number of pages15
Publication statusPublished - 2 Oct 2023
EventThe 29th Annual International Conference On Mobile Computing And Networking - Madrid, Spain
Duration: 2 Oct 20236 Oct 2023
Conference number: 29


ConferenceThe 29th Annual International Conference On Mobile Computing And Networking
Abbreviated titleMobiCom 2023
Internet address


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