中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 合肥物质科学研究院
  3. 中国科学院合肥物质科学研究院
Joint Mode Selection and Resource Allocation for Scalable Video Multicast in Hybrid Cellular and D2D Network

文献类型：期刊论文

作者Li, Jie2; Feng, Ransheng2; Sun, Wei3; Chen, Liangfeng1; Xu, Xiaobing3; Li, Qiyue3
刊名IEEE ACCESS
出版日期2018
卷号6页码:64350-64358
关键词Device-to-device channel allocation resource allocation scalable video multicast
ISSN号2169-3536
DOI10.1109/ACCESS.2018.2871223
通讯作者Li, Qiyue(liqiyue@mail.ustc.edu.cn)
英文摘要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 user's 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.
WOS关键词INTERFERENCE MANAGEMENT
资助项目National Natural Science Foundation of China[61301114] ; National Natural Science Foundation of China[51304058] ; Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine[ACAIM180102] ; Fundamental Research Funds for the Central Universities
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:000451367400001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine ; Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine ; Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine ; Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine ; Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine ; Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine ; Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine ; Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine ; Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine ; Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine ; Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine ; Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine ; Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/40332]  
专题中国科学院合肥物质科学研究院
通讯作者Li, Qiyue
作者单位1.Chinese Acad Sci, Hefei Inst Phys Sci, Hefei 230031, Anhui, Peoples R China
2.Hefei Univ Technol, Sch Comp & Informat, Hefei 23009, Anhui, Peoples R China
3.Hefei Univ Technol, Sch Elect Engn & Automat, Hefei 230009, Anhui, Peoples R China
推荐引用方式
GB/T 7714		 Li, Jie,Feng, Ransheng,Sun, Wei,et al. Joint Mode Selection and Resource Allocation for Scalable Video Multicast in Hybrid Cellular and D2D Network[J]. IEEE ACCESS,2018,6:64350-64358.
APA Li, Jie,Feng, Ransheng,Sun, Wei,Chen, Liangfeng,Xu, Xiaobing,&Li, Qiyue.(2018).Joint Mode Selection and Resource Allocation for Scalable Video Multicast in Hybrid Cellular and D2D Network.IEEE ACCESS,6,64350-64358.
MLA Li, Jie,et al."Joint Mode Selection and Resource Allocation for Scalable Video Multicast in Hybrid Cellular and D2D Network".IEEE ACCESS 6(2018):64350-64358.

入库方式： OAI收割

来源：合肥物质科学研究院

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。