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In this paper, we first present a mathematical model for the time\u2010variant AOAs. This model serves as the basis for the development of two nonstationary multipath fading channels models for vehicle\u2010to\u2010infrastructure communications. The statistical properties of both channel models are analysed with emphasis on the time\u2010dependent autocorrelation function (ACF), time\u2010dependent mean Doppler shift, time\u2010dependent Doppler spread, and the Wigner\u2010Ville spectrum. It is shown that these characteristic quantities are greatly influenced by time\u2010variant AOAs. The presented analytical framework provides a new view on the channel characteristics that goes well beyond ultra\u2010short observation intervals over which the channel can be considered as wide\u2010sense stationary.<\/jats:p>","DOI":"10.1155\/2018\/6396173","type":"journal-article","created":{"date-parts":[[2018,3,15]],"date-time":"2018-03-15T23:31:59Z","timestamp":1521156719000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Modelling and Analysis of Nonstationary Vehicle\u2010to\u2010Infrastructure Channels with Time\u2010Variant Angles of Arrival"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6859-5413","authenticated-orcid":false,"given":"Matthias","family":"P\u00e4tzold","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6234-7849","authenticated-orcid":false,"given":"Carlos A.","family":"Gutierrez","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2018,3,15]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1109\/9780470545287"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/tap.2015.2402291"},{"key":"e_1_2_9_3_2","doi-asserted-by":"crossref","unstructured":"UmanskyD.andP\u00e4tzoldM. 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