{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T06:53:01Z","timestamp":1763621581622,"version":"3.45.0"},"reference-count":26,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Institute of Information and Communications Technology Planning and Evaluation (IITP) grant funded by Korean Government (MSIT), Development of 5G+ Intelligent Base Station Software Modem","award":["2021-0-00165"],"award-info":[{"award-number":["2021-0-00165"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3627295","type":"journal-article","created":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T18:03:45Z","timestamp":1761847425000},"page":"193160-193169","source":"Crossref","is-referenced-by-count":0,"title":["Machine Learning-Based PRACH Preamble Detection: Efficient Structured Design Perspective"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-8003-8140","authenticated-orcid":false,"given":"Duhui","family":"Yang","sequence":"first","affiliation":[{"name":"Department of Electronic Engineering, Hanyang University, Seoul, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5570-8853","authenticated-orcid":false,"given":"Sang Won","family":"Choi","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Kyonggi University, Suwon, Gyeonggi-do, Republic of Korea"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICTC58733.2023.10392860"},{"volume-title":"Technical Specification Group Radio Access Network; NR; NR NG-RAN Overall Description; Stage 2","year":"2023","key":"ref2"},{"volume-title":"5G NR: The Next Generation Wireless Access Technology","year":"2018","author":"Dahlman","key":"ref3"},{"volume-title":"5G NR Physical Channels and Modulation","year":"2022","key":"ref4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1972.1054840"},{"volume-title":"Fundamentals of Statistical Signal Processing: Detection Theory","year":"1998","author":"Kay","key":"ref6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2916177"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2017.1601107"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2876865"},{"key":"ref10","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Krizhevsky"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2017.2758370"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2019.1900027"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2850703"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2017.2757490"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.22266\/ijies2021.1031.14"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3096853"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2019.04.156"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-12349-4"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM38437.2019.9013265"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICFEICT57213.2022.00094"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3085303"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3010500"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.33564\/IJEAST.2020.v04i12.054"},{"volume-title":"Base Station Radio Transmission and Reception","year":"2022","key":"ref24"},{"volume-title":"Deep Learning","year":"2016","author":"Goodfellow","key":"ref25"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3370840"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11222570.pdf?arnumber=11222570","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T06:15:36Z","timestamp":1763619336000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11222570\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3627295","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2025]]}}}