Deep-Learned Compression for Radio-Frequency Signal Classification

arXiv:2403.03150v1 Announce Type: new
Abstract: Next-generation cellular concepts rely on the processing of large quantities of radio-frequency (RF) samples. This includes Radio Access Networks (RAN) connecting the cellular front-end based on software defined radios (SDRs) and a framework for the AI processing of spectrum-related data. The RF data collected by the dense RAN radio units and spectrum sensors may need to be jointly processed for intelligent decision making. Moving large amounts of data to AI agents may result in significant …

abstract ai processing arxiv cellular classification compression concepts cs.lg cs.ni data eess.sp framework front-end networks next processing radio samples signal software spectrum type