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This paper studies the energy efficiency optimization problem for D2D-enabled fog radio access networks (FRANs). A resource allocation algorithm is proposed to maximize the network energy efficiency by jointly optimizing the beamforming vector, resource block allocation, and transmission power of the remote radio heads (RRHs), fog access point (FAP), and D2D users. The developed algorithm is based on nonlinear programming, convex optimization, and Lagrangian duality. Simulation results show that, by applying the proposed algorithm, the system throughput is significantly improved, and the network energy consumption is greatly reduced, which can ultimately improve the network energy efficiency obviously.<\/jats:p>","DOI":"10.1155\/2021\/7995090","type":"journal-article","created":{"date-parts":[[2021,11,25]],"date-time":"2021-11-25T22:05:08Z","timestamp":1637877908000},"page":"1-10","source":"Crossref","is-referenced-by-count":1,"title":["Resource Allocation Scheme for Fog-Enabled Wireless Access Networks under the QoS of Users"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9268-4424","authenticated-orcid":true,"given":"Huilin","family":"Jiang","sequence":"first","affiliation":[{"name":"School of Electronic Engineering, Nanjing Xiaozhuang University, Nanjing, China"},{"name":"Jiangsu Key Construction Laboratory of IoT Application Technology, Wuxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5380-9781","authenticated-orcid":true,"given":"Lili","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Nanjing Xiaozhuang University, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1704-4339","authenticated-orcid":true,"given":"Xiang","family":"Song","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Nanjing Xiaozhuang University, Nanjing, China"}]},{"given":"Xueming","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Nanjing Xiaozhuang University, Nanjing, China"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1109\/access.2020.3032704"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1109\/ojcoms.2021.3057679"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1109\/access.2020.3037183"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.23919\/icn.2020.0020"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.23919\/jcc.2020.08.002"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1109\/access.2019.2939735"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1109\/access.2021.3051695"},{"key":"8","article-title":"Task allocation framework for software-defined fog v-RAN","volume":"8","author":"C. 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