Joint Design of Beamforming and Edge Caching in Fog Radio Access Networks
In this paper, we study a novel transmission framework based on statistical channel state information (SCSI) by incorporating edge caching and beamforming in a fog radio access network (F-RAN) architecture. By optimizing the statistical beamforming and edge caching, we formulate a comprehensive nonc...
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| Published in | Security and communication networks Vol. 2021; pp. 1 - 8 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
Hindawi
18.09.2021
John Wiley & Sons, Inc |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1939-0114 1939-0122 1939-0122 |
| DOI | 10.1155/2021/1935453 |
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| Abstract | In this paper, we study a novel transmission framework based on statistical channel state information (SCSI) by incorporating edge caching and beamforming in a fog radio access network (F-RAN) architecture. By optimizing the statistical beamforming and edge caching, we formulate a comprehensive nonconvex optimization problem to minimize the backhaul cost subject to the BS transmission power, limited caching capacity, and quality-of-service (QoS) constraints. By approximating the problem using the l0-norm, Taylor series expansion, and other processing techniques, we provide a tailored second-order cone programming (SOCP) algorithm for the unicast transmission scenario and a successive linear approximation (SLA) algorithm for the joint unicast and multicast transmission scenario. This is the first attempt at the joint design of statistical beamforming and edge caching based on SCSI under the F-RAN architecture. |
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| AbstractList | In this paper, we study a novel transmission framework based on statistical channel state information (SCSI) by incorporating edge caching and beamforming in a fog radio access network (F-RAN) architecture. By optimizing the statistical beamforming and edge caching, we formulate a comprehensive nonconvex optimization problem to minimize the backhaul cost subject to the BS transmission power, limited caching capacity, and quality-of-service (QoS) constraints. By approximating the problem using the l0-norm, Taylor series expansion, and other processing techniques, we provide a tailored second-order cone programming (SOCP) algorithm for the unicast transmission scenario and a successive linear approximation (SLA) algorithm for the joint unicast and multicast transmission scenario. This is the first attempt at the joint design of statistical beamforming and edge caching based on SCSI under the F-RAN architecture. In this paper, we study a novel transmission framework based on statistical channel state information (SCSI) by incorporating edge caching and beamforming in a fog radio access network (F-RAN) architecture. By optimizing the statistical beamforming and edge caching, we formulate a comprehensive nonconvex optimization problem to minimize the backhaul cost subject to the BS transmission power, limited caching capacity, and quality-of-service (QoS) constraints. By approximating the problem using the l 0 -norm, Taylor series expansion, and other processing techniques, we provide a tailored second-order cone programming (SOCP) algorithm for the unicast transmission scenario and a successive linear approximation (SLA) algorithm for the joint unicast and multicast transmission scenario. This is the first attempt at the joint design of statistical beamforming and edge caching based on SCSI under the F-RAN architecture. |
| Author | Wu, Jun Cheng, Songlin Fang, Zhijun Lv, Wenjing Wang, Rui |
| Author_xml | – sequence: 1 givenname: Wenjing surname: Lv fullname: Lv, Wenjing organization: College of Electronics and Information EngineeringTongji UniversityShanghai 201804Chinatongji.edu.cn – sequence: 2 givenname: Rui orcidid: 0000-0002-2974-0972 surname: Wang fullname: Wang, Rui organization: College of Electronics and Information EngineeringTongji UniversityShanghai 201804Chinatongji.edu.cn – sequence: 3 givenname: Jun orcidid: 0000-0001-7090-8653 surname: Wu fullname: Wu, Jun organization: School of Computer ScienceFudan UniversityShanghaiChinafudan.edu.cn – sequence: 4 givenname: Zhijun surname: Fang fullname: Fang, Zhijun organization: College of Electronic and Electrical EngineeringShanghai University of Engineering ScienceShanghai 201620Chinasues.edu.cn – sequence: 5 givenname: Songlin orcidid: 0000-0003-4278-589X surname: Cheng fullname: Cheng, Songlin organization: Department of Arts and SciencesShanghai Dianji UniversityShanghai 201306Chinasdju.edu.cn |
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| Cites_doi | 10.1109/twc.2016.2578922 10.1109/mnet.2016.7513863 10.1109/TCSS.2021.3102591 10.1109/twc.2018.2858223 10.1109/access.2019.2917291 10.1109/TGCN.2021.3067374 10.1109/tit.2017.2735962 10.1145/3419842 10.1109/tsp.2017.2699640 10.1109/tsp.2006.872578 10.1109/twc.2012.100112.120082 10.1109/access.2016.2603996 10.1109/TETCI.2020.3023155 |
| ContentType | Journal Article |
| Copyright | Copyright © 2021 Wenjing Lv et al. Copyright © 2021 Wenjing Lv et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 |
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| SubjectTerms | Algorithms Approximation Beamforming Caching Optimization Series expansion Taylor series Wireless networks |
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| Title | Joint Design of Beamforming and Edge Caching in Fog Radio Access Networks |
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