Joint Mode Selection and Resource Allocation for Scalable Video Multicast in Hybrid Cellular and D2D Network
Scalable wireless video multicast has been widely studied as an efficient mechanism for real-time video transmission, and scalable video coding alongside adaptive modulation and coding is proposed to address the heterogeneity of networks and user capabilities in next generation mobile communication...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8468159/ |
| _version_ | 1797360167707213824 |
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| author | Jie Li Ransheng Feng Wei Sun Liangfeng Chen Xiaobing Xu Qiyue Li |
| author_facet | Jie Li Ransheng Feng Wei Sun Liangfeng Chen Xiaobing Xu Qiyue Li |
| author_sort | Jie Li |
| collection | DOAJ |
| description | Scalable wireless video multicast has been widely studied as an efficient mechanism for real-time video transmission, and scalable video coding alongside adaptive modulation and coding is proposed to address the heterogeneity of networks and user capabilities in next generation mobile communication networks. This paper combines D2D technology with the traditional cellular network to form a hybrid network to improve video subscriber users’ experience. The proposed scheme is formulated into a joint mode selection, resource, and power allocation problem based on interference mitigation, which is proven to be NP-hard. Then, we divide it into two sub-problems, where the first one is model selection to maximize the number of D2D users who can access the systems, and the other is to assign appropriate MCS and resource blocks to each video layer. To solve these two problems, we present a greedy algorithm and a heuristic algorithm, respectively. Simulation results show that our hybrid cellular and D2D communications network can effectively increase the capacity of system users, and the mixed network video multicast model can improve the overall system throughput while providing better video quality. |
| first_indexed | 2024-03-08T15:35:22Z |
| format | Article |
| id | doaj.art-337a0399855948b697a0f64056a58986 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-08T15:35:22Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-337a0399855948b697a0f64056a589862024-01-10T00:04:03ZengIEEEIEEE Access2169-35362018-01-016643506435810.1109/ACCESS.2018.28712238468159Joint Mode Selection and Resource Allocation for Scalable Video Multicast in Hybrid Cellular and D2D NetworkJie Li0Ransheng Feng1Wei Sun2https://orcid.org/0000-0003-4075-0597Liangfeng Chen3Xiaobing Xu4Qiyue Li5https://orcid.org/0000-0002-9399-8759School of Computer and Information, Hefei University of Technology, Hefei, ChinaSchool of Computer and Information, Hefei University of Technology, Hefei, ChinaSchool of Electrical Engineering and Automation, Hefei University of Technology, Hefei, ChinaChinese Academy of Sciences, Hefei Institutes of Physical Science, Hefei, ChinaSchool of Electrical Engineering and Automation, Hefei University of Technology, Hefei, ChinaSchool of Electrical Engineering and Automation, Hefei University of Technology, Hefei, ChinaScalable wireless video multicast has been widely studied as an efficient mechanism for real-time video transmission, and scalable video coding alongside adaptive modulation and coding is proposed to address the heterogeneity of networks and user capabilities in next generation mobile communication networks. This paper combines D2D technology with the traditional cellular network to form a hybrid network to improve video subscriber users’ experience. The proposed scheme is formulated into a joint mode selection, resource, and power allocation problem based on interference mitigation, which is proven to be NP-hard. Then, we divide it into two sub-problems, where the first one is model selection to maximize the number of D2D users who can access the systems, and the other is to assign appropriate MCS and resource blocks to each video layer. To solve these two problems, we present a greedy algorithm and a heuristic algorithm, respectively. Simulation results show that our hybrid cellular and D2D communications network can effectively increase the capacity of system users, and the mixed network video multicast model can improve the overall system throughput while providing better video quality.https://ieeexplore.ieee.org/document/8468159/Device-to-devicechannel allocationresource allocationscalable video multicast |
| spellingShingle | Jie Li Ransheng Feng Wei Sun Liangfeng Chen Xiaobing Xu Qiyue Li Joint Mode Selection and Resource Allocation for Scalable Video Multicast in Hybrid Cellular and D2D Network IEEE Access Device-to-device channel allocation resource allocation scalable video multicast |
| title | Joint Mode Selection and Resource Allocation for Scalable Video Multicast in Hybrid Cellular and D2D Network |
| title_full | Joint Mode Selection and Resource Allocation for Scalable Video Multicast in Hybrid Cellular and D2D Network |
| title_fullStr | Joint Mode Selection and Resource Allocation for Scalable Video Multicast in Hybrid Cellular and D2D Network |
| title_full_unstemmed | Joint Mode Selection and Resource Allocation for Scalable Video Multicast in Hybrid Cellular and D2D Network |
| title_short | Joint Mode Selection and Resource Allocation for Scalable Video Multicast in Hybrid Cellular and D2D Network |
| title_sort | joint mode selection and resource allocation for scalable video multicast in hybrid cellular and d2d network |
| topic | Device-to-device channel allocation resource allocation scalable video multicast |
| url | https://ieeexplore.ieee.org/document/8468159/ |
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