{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T20:58:04Z","timestamp":1774990684636,"version":"3.50.1"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100014013","name":"UK Research and Innovation (UKRI) through Project Artificial Intelligence in the Air (AI-R) (European Research Council","doi-asserted-by":"publisher","award":["EP\/X030806\/1"],"award-info":[{"award-number":["EP\/X030806\/1"]}],"id":[{"id":"10.13039\/100014013","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100014013","name":"Sustainable Computing and Communication at the Edge","doi-asserted-by":"publisher","award":["EPSRC-EP\/W035960\/1"],"award-info":[{"award-number":["EPSRC-EP\/W035960\/1"]}],"id":[{"id":"10.13039\/100014013","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Smart Networks and Services Joint Undertaking (SNS JU) Project 6G-GOALS"},{"DOI":"10.13039\/100018703","name":"EU's Horizon Program","doi-asserted-by":"publisher","award":["101139232"],"award-info":[{"award-number":["101139232"]}],"id":[{"id":"10.13039\/100018703","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Wireless Commun."],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1109\/twc.2024.3388329","type":"journal-article","created":{"date-parts":[[2024,4,19]],"date-time":"2024-04-19T17:34:41Z","timestamp":1713548081000},"page":"12126-12139","source":"Crossref","is-referenced-by-count":7,"title":["AirNet: Neural Network Transmission Over the Air"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5362-7411","authenticated-orcid":false,"given":"Mikolaj","family":"Jankowski","sequence":"first","affiliation":[{"name":"Department of Electrical and Electronic Engineering, Imperial College London, London, U.K"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7725-395X","authenticated-orcid":false,"given":"Deniz","family":"G\u00fcnd\u00fcz","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, Imperial College London, London, U.K"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Krystian","family":"Mikolajczyk","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, Imperial College London, London, U.K"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT50566.2022.9834372"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ISLPED.2019.8824955"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCWorkshops49005.2020.9145068"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC48557.2020.9154306"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC51858.2021.9593188"},{"key":"ref6","volume-title":"5G System (5GS); Study on Traffic Characteristics and Performance Requirements for AI\/ML Model Transfer","year":"2021"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2021.3099136"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3142513"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2000394"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118346"},{"key":"ref11","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref12","first-page":"1","article-title":"Optimal brain damage","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"LeCun"},{"key":"ref13","article-title":"Pruning convolutional neural networks for resource efficient inference","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Molchanov"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01152"},{"key":"ref15","article-title":"Pruning filters for efficient convnets","volume-title":"Proc. Int. Conf. Learn. Repr. (ICLR)","author":"Li"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.155"},{"key":"ref17","article-title":"SNIP: Single-shot network pruning based on connection sensitivity","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Lee"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00289"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.541"},{"key":"ref20","article-title":"The lottery ticket hypothesis: Finding sparse, trainable neural networks","volume-title":"Proc. Int. Conf. Learn. Reprs. (ICLR)","author":"Frankle"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00160"},{"key":"ref22","first-page":"3821","article-title":"An information-theoretic justification for model pruning","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Isik"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00748"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00204"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00038"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01318"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_23"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00222"},{"key":"ref29","article-title":"Post-training 4-bit quantization of convolution networks for rapid-deployment","author":"Banner","year":"2018","journal-title":"arXiv:1810.05723"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2020.2969554"},{"key":"ref31","article-title":"Noisy neural network compression for analog storage devices","volume-title":"Proc. NeurIPS Workshop: Deep Learn. Through Inf. Geometry","author":"Isik"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1948.tb01338.x"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2019.2919300"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2020.2987203"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3090048"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICC42927.2021.9500996"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2022.3204837"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3180802"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3087240"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3191354"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3036955"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2023.3290327"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2974748"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2023.3268742"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1118\/1.3213517"},{"key":"ref46","article-title":"Distilling the knowledge in a neural network","volume-title":"Proc. NIPS Deep Learn. Rep. Learn. Wrkshp.","author":"Hinton"},{"key":"ref47","volume-title":"The Theory of Optimum Noise Immunity","author":"Kotelnikov","year":"1959"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2009.0901.070075"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1002\/zamm.19290090206"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00189"},{"key":"ref51","article-title":"Loss surfaces, mode connectivity, and fast ensembling of DNNs","volume-title":"Proc. Adv. Neural Inf. Proc. Sys. (NeurIPS)","volume":"31","author":"Garipov"},{"key":"ref52","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref54","volume-title":"Tiny ImageNet Visual Recognition Challenge","author":"Li","year":"2022"}],"container-title":["IEEE Transactions on Wireless Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7693\/10678756\/10506072.pdf?arnumber=10506072","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,12]],"date-time":"2024-09-12T05:37:17Z","timestamp":1726119437000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10506072\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9]]},"references-count":54,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/twc.2024.3388329","relation":{},"ISSN":["1536-1276","1558-2248"],"issn-type":[{"value":"1536-1276","type":"print"},{"value":"1558-2248","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9]]}}}