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This paper introduces an innovative and advanced approach for the joint detection of users and estimation of channels in grant-free RA. The approach incorporates two distinct preamble structures: the single orthogonal preamble (SOP) and the concatenated orthogonal preamble (COP). The proposed algorithms make full use of the inherent quasiorthogonal characteristic of massive MIMO, thereby enabling the accurate estimation of user channels while effectively avoiding collisions in the preambles. As a result, these algorithms generate highly precise estimations of user channels. To substantiate the effectiveness of the proposed algorithms, this paper provides an extensive theoretical analysis and presents a comprehensive set of experimental results. These findings offer robust evidence for the efficacy of the algorithms in substantially bolstering the performance of grant-free RA. Additionally, we have conducted further research and analysis, which has led to additional insights and refinements in our proposed approach. Moreover, the experimental results validate the statistical significance and reliability of the performance enhancements achieved by these algorithms. Moreover, the proposed approach exhibits robustness in scenarios with different levels of user density and varying channel conditions. Through a thorough analysis of these scenarios, we showcase the versatility and applicability of our algorithms in real-world environments.<\/jats:p>","DOI":"10.1155\/2023\/1672421","type":"journal-article","created":{"date-parts":[[2023,12,14]],"date-time":"2023-12-14T00:20:06Z","timestamp":1702513206000},"page":"1-14","source":"Crossref","is-referenced-by-count":0,"title":["Joint User Detection and Channel Estimation in Grant-Free Random Access for Massive MIMO Systems"],"prefix":"10.1155","volume":"2023","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-8365-0802","authenticated-orcid":true,"given":"Yang","family":"Yang","sequence":"first","affiliation":[{"name":"School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8535-4526","authenticated-orcid":true,"given":"Guanghua","family":"Song","sequence":"additional","affiliation":[{"name":"School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8363-4468","authenticated-orcid":true,"given":"Hui","family":"Liu","sequence":"additional","affiliation":[{"name":"Research Center of Hubei Logistics Development, Hubei University of Economics, Wuhan, China"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1109\/tgcn.2017.2700855"},{"volume-title":"5G NR: The Next Generation Wireless Access Technology","year":"2020","author":"E. 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