{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10531415","patent":{"patent_number":"US-10531415","title":"Learning communication systems using channel approximation","assignee":null,"inventors":[],"filing_date":"2019-03-04T00:00:00.000Z","publication_date":"2020-01-07T00:00:00.000Z","cpc_codes":["H04W","G06N","G06N","G06N","G06N","G06N","G06N","H04B","H04B","H04L","H04L","H04W","H04W","G06N","G06N","G06N"],"num_claims":23,"abstract":"Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training and deploying machine-learned communication over RF channels. In some implementations, information is obtained. An encoder network is used to process the information and generate a first RF signal. The first RF signal is transmitted through a first channel. A second RF signal is determined that represents the first RF signal having been altered by transmission through the first channel. Transmission of the first RF signal is simulated over a second channel implementing a machine-learning network, the second channel representing a model of the first channel. A simulated RF signal that represents the first RF signal having been altered by simulated transmission through the second channel is determined. A measure of distance between the second RF signal and the simulated RF signal is calculated. The machine-learning network is updated using the measure of distance."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Learning communication systems using channel approximation","description":"Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training and deploying machine-learned communication over RF channels. In some implementations, info","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10531415","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-10531415","citation_suggestion":"Patentable. \"Learning communication systems using channel approximation\" (US-10531415). https://patentable.app/patents/US-10531415","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10531415","json":"https://patentable.app/api/llm-context/US-10531415","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T06:39:36.378Z"}