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In this paper, by modeling the locations of the base stations (BSs) as the Matern hard\u2010core point process of type II (MHP), we analyze the content retrieval delay for a typical cache\u2010enabled device in wireless networks under the most popular content policy. Since it is intractable to get the size distribution of a Voronoi cell in the MHP model, we propose an approximate formula based on the empirical result in the Poisson point process and derive the cellular load which denotes the number of the user devices connected to a randomly chosen BS. Since the probability generating functional for MHP does not exist, we also propose approximate methods for the coverage probability of the MHP model. At last, we derive the cumulative distribution function of the content retrieval delay. Simulation results validate the accuracy of our analytical conclusions for user content retrieval delay.<\/jats:p>","DOI":"10.1155\/2018\/2303289","type":"journal-article","created":{"date-parts":[[2018,9,4]],"date-time":"2018-09-04T23:30:29Z","timestamp":1536103829000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Analysis of User Content Retrieval Delay Based on the Matern Hard\u2010Core Point Process of Type II"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8732-9786","authenticated-orcid":false,"given":"Shuyuan","family":"Zhao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jihong","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hua","family":"Qu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0444-0607","authenticated-orcid":false,"given":"Gongye","family":"Ren","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2018,9,4]]},"reference":[{"key":"e_1_2_9_1_2","unstructured":"Cisco Cisco visual networking index: Global mobile data traffic forecast update 2015-2020 white paper 2016."},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2014.2328098"},{"key":"e_1_2_9_3_2","doi-asserted-by":"crossref","unstructured":"WooS. 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