{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T14:18:03Z","timestamp":1760710683703,"version":"3.37.3"},"reference-count":29,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,8,18]],"date-time":"2021-08-18T00:00:00Z","timestamp":1629244800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"State Key Laboratory of Computer Architecture","award":["CARCHB202019","2021TQ0136","2020CX234","2020CX236","5258","5259"],"award-info":[{"award-number":["CARCHB202019","2021TQ0136","2020CX234","2020CX236","5258","5259"]}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["CARCHB202019","2021TQ0136","2020CX234","2020CX236","5258","5259"],"award-info":[{"award-number":["CARCHB202019","2021TQ0136","2020CX234","2020CX236","5258","5259"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004637","name":"Nanchang University","doi-asserted-by":"publisher","award":["CARCHB202019","2021TQ0136","2020CX234","2020CX236","5258","5259"],"award-info":[{"award-number":["CARCHB202019","2021TQ0136","2020CX234","2020CX236","5258","5259"]}],"id":[{"id":"10.13039\/501100004637","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012639","name":"Prince Sultan University","doi-asserted-by":"publisher","award":["CARCHB202019","2021TQ0136","2020CX234","2020CX236","5258","5259"],"award-info":[{"award-number":["CARCHB202019","2021TQ0136","2020CX234","2020CX236","5258","5259"]}],"id":[{"id":"10.13039\/501100012639","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Security and Communication Networks"],"published-print":{"date-parts":[[2021,8,18]]},"abstract":"<jats:p>With the explosive growth of ubiquitous mobile services and the advent of the 5G era, ultra-dense wireless network (UDN) architectures have entered daily production and life. However, the massive access capacity provided by 5G networks and the dense deployment of micro base stations also bring challenges such as high energy consumption, high maintenance costs, and inflexibility. Fiber-based visible light communication (FVLC) has the advantages of large bandwidth and high speed, which provides an efficient connection option for UDN. Thus, in order to make up for the poor flexibility of UDN, we propose a new FVLC-UDN architecture based on software-defined networks (SDNs). Specifically, SDN decouples the data plane and the control plane of the device and centralizes the control of the LED in the cell through a unified control plane, which can not only improve the resource allocation ability of the network but also transmit the data only as the data plane, reducing the manufacturing and implementation costs of the LED. In order to get a better resource allocation scheme, this paper proposes a model for predicting cell traffic based on convolutional neural networks. By predicting the traffic of each cell in the control domain, the traffic trend and cells\u2019 status in the future period of time in the control domain can be obtained, so that a much more efficient resource allocation scheme can be formulated proactively to reduce energy consumption and balance communication loads. The experimental results show that on the real cell traffic dataset, this method is better than the existing prediction methods when the size of training dataset is limited.<\/jats:p>","DOI":"10.1155\/2021\/9223965","type":"journal-article","created":{"date-parts":[[2021,8,19]],"date-time":"2021-08-19T18:39:18Z","timestamp":1629398358000},"page":"1-10","source":"Crossref","is-referenced-by-count":10,"title":["Cell Traffic Prediction Based on Convolutional Neural Network for Software-Defined Ultra-Dense Visible Light Communication Networks"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9620-0012","authenticated-orcid":true,"given":"Shanjun","family":"Zhan","sequence":"first","affiliation":[{"name":"School of Information Engineering, Nanchang University, Nanchang 330031, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8637-852X","authenticated-orcid":true,"given":"Lisu","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Nanchang University, Nanchang 330031, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9447-2604","authenticated-orcid":true,"given":"Zhen","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Nanchang University, Nanchang 330031, China"},{"name":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6271-9094","authenticated-orcid":true,"given":"Yichen","family":"Du","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Nanchang University, Nanchang 330031, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3015-5498","authenticated-orcid":true,"given":"Yan","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Jingdezhen Ceramic University, Jingdezhen 333403, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3314-9341","authenticated-orcid":true,"given":"Qinghua","family":"Cao","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Nanchang University, Nanchang 330031, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0018-815X","authenticated-orcid":true,"given":"Shuping","family":"Dang","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, University of Bristol, Bristol BS8 1UB, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4710-4010","authenticated-orcid":true,"given":"Zahid","family":"Khan","sequence":"additional","affiliation":[{"name":"College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1109\/mvt.2020.3018100"},{"key":"2","article-title":"Cisco visual networking index: forecast and methodology (2017\u20132022)","volume":"1","author":"V. 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