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Linear minimum mean square error (MMSE) enables near\u2010optimal detection performance in massive MIMO but suffers from unbearable computational complexity due to complicated matrix inversions. To address this problem, we propose a novel low\u2010complexity signal detector based on joint steepest descent (SD) and non\u2010stationary Richardson (NSR) iteration method. The SD is applied to get an efficient searching direction for the following NSR method to enhance the performance. The key idea of the proposed algorithm is to utilize a combination of the scaled\u2010diagonal initialization and the system\u2010 and iteration\u2010dependent acceleration mechanism, so that the convergence can be significantly speeded up. An antenna\u2010 and eigenvalue\u2010based scaling parameter is introduced for the proposed detector to further improve the error\u2010rate performance. We also provide convergence guarantees for the proposed technique. Numerical results demonstrate that the proposed joint detection approach attains superior performance compared to existing iterative approaches and provides a lower computational complexity than the conventional MMSE detector.<\/jats:p>","DOI":"10.1002\/ett.4566","type":"journal-article","created":{"date-parts":[[2022,6,5]],"date-time":"2022-06-05T23:58:47Z","timestamp":1654473527000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Joint steepest descent and non\u2010stationary Richardson method for low\u2010complexity detection in massive MIMO systems"],"prefix":"10.1002","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3893-148X","authenticated-orcid":false,"given":"Imran A.","family":"Khoso","sequence":"first","affiliation":[{"name":"College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Nanjing Jiangsu People's Republic of China"}]},{"given":"Xiaofei","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Nanjing Jiangsu People's Republic of China"}]},{"given":"Xiaoming","family":"Dai","sequence":"additional","affiliation":[{"name":"School of Computer and Communication Engineering University of Science and Technology Beijing Beijing People's Republic of China"}]},{"given":"Adeel","family":"Ahmed","sequence":"additional","affiliation":[{"name":"School of Computer and Communication Engineering University of Science and Technology Beijing Beijing People's Republic of China"}]},{"given":"Zaheer Ahmed","family":"Dayo","sequence":"additional","affiliation":[{"name":"Department of Computer Science Huanggang Normal University Huanggang Hubei People's Republic of China"}]}],"member":"311","published-online":{"date-parts":[[2022,6,5]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/ett.3254"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2935810"},{"key":"e_1_2_9_4_1","first-page":"1","article-title":"Sixth Generation (6G) cognitive radio network (CRN) application, requirements, security issues, and key challenges","author":"Muhammad MA","year":"2021","journal-title":"Wirel Commun Mob Comput"},{"issue":"4","key":"e_1_2_9_5_1","doi-asserted-by":"crossref","first-page":"e4233","DOI":"10.1002\/ett.4233","article-title":"6G: a comprehensive survey on technologies, applications, challenges, and research problems","volume":"32","author":"Haitham HHM","year":"2021","journal-title":"Trans Emerg Telecommun Technol"},{"key":"e_1_2_9_6_1","unstructured":"MuhammadMA JieZ BushraQ ZahoorA.Beyond 6G\u2010 consensus traffic management in CRN applications architecture and key challenges. 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