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This device makes it possible to engineer the wireless communication environment, and has drawn increasing attention. However, the associated channel models in current literature are mainly borrowed from conventional wireless channel models directly, omitting the unique features of IRS. In this paper, a geometry\u2010based stochastic channel model for IRS\u2010assisted wireless communication system is employed. The model has certain accuracy and low computational complexity. In particular, it captures the correlations of subchannels associated with different IRS elements, which is typically not considered in current works. Based on this channel model and the derived channel spatial correlation functions (CFs), an iterative reflection coefficients configuration method is proposed exploiting statistical channel state information to maximise the ergodic channel capacity. The impacts of the IRS spatial positions as well as the number of the IRS elements on the ergodic channel capacity is investigated through simulations. It is found that to obtain a larger ergodic channel capacity, the IRS should be placed in the vicinity of either the transmitter side or the receiver side, which is a useful guideline for practical\u00a0deployment.<\/jats:p>","DOI":"10.1049\/cmu2.12075","type":"journal-article","created":{"date-parts":[[2020,12,19]],"date-time":"2020-12-19T11:27:37Z","timestamp":1608377257000},"page":"421-434","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["A geometry\u2010based stochastic channel model and its application for intelligent reflecting surface assisted wireless communication"],"prefix":"10.1049","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4199-9645","authenticated-orcid":false,"given":"Jian","family":"Dang","sequence":"first","affiliation":[{"name":"National Mobile Communications Research Laboratory Southeast University Nanjing China"}]},{"given":"Shicheng","family":"Gao","sequence":"additional","affiliation":[{"name":"National Mobile Communications Research Laboratory Southeast University Nanjing China"}]},{"given":"Yongdong","family":"Zhu","sequence":"additional","affiliation":[{"name":"Zhejiang Laboratory Hangzhou China"}]},{"given":"Rongbin","family":"Guo","sequence":"additional","affiliation":[{"name":"Zhejiang Laboratory Hangzhou China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6757-4231","authenticated-orcid":false,"given":"Hao","family":"Jiang","sequence":"additional","affiliation":[{"name":"College of Artificial Intelligence Nanjing University of Information Science and Technology Nanjing China"}]},{"given":"Zaichen","family":"Zhang","sequence":"additional","affiliation":[{"name":"National Mobile Communications Research Laboratory Southeast University Nanjing China"}]},{"given":"Liang","family":"Wu","sequence":"additional","affiliation":[{"name":"National Mobile Communications Research Laboratory Southeast University Nanjing China"}]},{"given":"Bingcheng","family":"Zhu","sequence":"additional","affiliation":[{"name":"National Mobile Communications Research Laboratory Southeast University Nanjing China"}]},{"given":"Lei","family":"Wang","sequence":"additional","affiliation":[{"name":"National Mobile Communications Research Laboratory Southeast University Nanjing China"}]}],"member":"265","published-online":{"date-parts":[[2020,12,19]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2014.6736746"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2014.6736761"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2929400"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-018-06802-0"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/APUSNCURSINRSM.2017.8073077"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.1900308"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2923997"},{"key":"e_1_2_8_9_1","doi-asserted-by":"crossref","unstructured":"Guo H. et\u00a0al.:Weighted sum\u2010rate optimization for intelligent reflecting surface enhanced wireless networks. arXiv preprint arXiv:190507920 (2019)","DOI":"10.1109\/GLOBECOM38437.2019.9013288"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2924034"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2020.2969629"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.1900107"},{"key":"e_1_2_8_13_1","unstructured":"Zhao J.:A survey of intelligent reflecting surfaces (IRSs): Towards 6Gwireless communication networks with massive MIMO 2.0. arXiv preprint arXiv:190704789 (2019)"},{"key":"e_1_2_8_14_1","doi-asserted-by":"crossref","unstructured":"Di.Renzo M. et\u00a0al.:Smart radio environments empowered by reconfigurable intelligent surfaces: How it works state of research and road ahead. arXiv preprint arXiv:200409352 (2020)","DOI":"10.1109\/JSAC.2020.3007211"},{"key":"e_1_2_8_15_1","unstructured":"Cui Y. 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