{"f698e236a380faddfb8f96d98b28f5bcinue":{"DOI":"10.1109/JSTSP.2017.2784180","ISBN":"","ISSN":"1941-0484","URL":"","abstract":"","annote":"","author":[{"family":"Dörner","given":"S."},{"family":"Cammerer","given":"S."},{"family":"Hoydis","given":"J."},{"family":"ten Brink","given":"S."}],"citation-label":"learning_to_communicate","collection-editor":[],"collection-title":"","container-author":[],"container-title":"IEEE Journal of Selected Topics in Signal Processing","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2018","Feb"]],"literal":"2018"},"event-place":"","id":"f698e236a380faddfb8f96d98b28f5bcinue","interhash":"a0e38e6df23c2f25303e9abd1d9fd60d","intrahash":"f698e236a380faddfb8f96d98b28f5bc","issue":"1","issued":{"date-parts":[["2018","Feb"]],"literal":"2018"},"keyword":"myown network;over-the-air;software-defined software-defined from:sdnr transmissions;open-source (artificial systems;block-based module;transmitter transmission;receiver implementations;deep computing;two-step nets;radio intelligence);neural libraries;continuous learning;communications learning;end-to-end rate;over-the-air synchronization;frame error transmissions;receiver deep neural software synchronization data learning;modulation;neural learning libraries;software radio implementations;off-the-shelf networks;NNs;block procedure;end-to-end radio;synchronisation;telecommunication radios;Training;Receivers;Communication networks;Hardware;Transmitters;Synchronization;Autoencoder;communication;deep receivers;software systems;Artificial","misc":{"issn":"1941-0484","doi":"10.1109/JSTSP.2017.2784180"},"note":"","number":"1","number-of-pages":"11","page":"132-143","page-first":"132","publisher":"","publisher-place":"","status":"","title":"Deep Learning Based Communication Over the Air","type":"article-journal","username":"inue","version":"","volume":"12"}}