{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T09:05:05Z","timestamp":1766739905718,"version":"3.48.0"},"reference-count":33,"publisher":"Institution of Engineering and Technology (IET)","issue":"1","license":[{"start":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T00:00:00Z","timestamp":1766707200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62361136811"],"award-info":[{"award-number":["62361136811"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62174091"],"award-info":[{"award-number":["62174091"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62201294"],"award-info":[{"award-number":["62201294"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["ietresearch.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["IET Communications"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Channel state information (CSI) is pivotal for assuring high performances of wireless communication systems. In particular, multiple\u2010input multiple\u2010output transmission is only beneficial when CSI is known. A large number of subcarriers are desired in Orthogonal Frequency Division Multiplex (OFDM) systems to boost overall throughput, which makes channel estimation a more challenging task, especially to extract channel features in a more dynamic environment without causing a significant overhead transmission. Conventional least squares\u2010based methods are affected by the noise and interference that inherently exist in the acquired data for processing. We proposed the deep neural network (DNN)\u2010based method to estimate CSI, and one distinguishing characteristic is to adopt a Discrete Fourier Transform (DFT) operation\u2010based method to mitigate the impact of noise before carrying out the DNN procedure; hence, the accuracy of the learning outcome significantly improved. The effectiveness of the proposed scheme is verified with simulations under a variety of propagation scenarios. The proposed method has demonstrated a high performance for channel estimation. It has shown a particular advantage in more dynamic and noisy environments for wireless communications.<\/jats:p>","DOI":"10.1049\/cmu2.70123","type":"journal-article","created":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T09:00:42Z","timestamp":1766739642000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Supervised Learning Method for High\u2010Performance Channel State Information Estimation"],"prefix":"10.1049","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-1252-0738","authenticated-orcid":false,"given":"Tianle","family":"Han","sequence":"first","affiliation":[{"name":"School of Transportation and Civil Engineering Nantong University  Nantong China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9201-4511","authenticated-orcid":false,"given":"Yongwei","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Transportation and Civil Engineering Nantong University  Nantong China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5002-8728","authenticated-orcid":false,"given":"Murat","family":"Temiz","sequence":"additional","affiliation":[{"name":"School of Transportation and Civil Engineering Nantong University  Nantong China"},{"name":"Department of Electrical and Electronic, Engineering Middle East Technical University  Ankara Turkiye"}]}],"member":"265","published-online":{"date-parts":[[2025,12,26]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2012.011312.112042"},{"key":"e_1_2_12_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2004.839702"},{"key":"e_1_2_12_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2799164"},{"key":"e_1_2_12_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/OJCOMS.2025.3559737"},{"key":"e_1_2_12_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2022.3187161"},{"key":"e_1_2_12_7_1","doi-asserted-by":"crossref","unstructured":"M.SusandhikaandA. 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