摘要
The emergence of self-driving technologies implies that a future vehicle will likely become an entertainment center that demands personalized multimedia contents with very high quality. The surge of vehicular content demand brings significant challenges for the fifth generation(5G) cellular communication network. To cope with the challenge of massive content delivery, previous studies suggested that the 5G mobile edge network should be designed to integrate communication, computing, and cache(3C) resources to enable advanced functionalities such as proactive content delivery and in-network caching. However, the fundamental benefits achievable by computing and caching in mobile communications networks are not yet properly understood. This paper proposes a novel theoretical framework to characterize the tradeoff among computing, cache, and communication resources required by the mobile edge network to fulfill the task of content delivery. Analytical and numerical results are obtained to characterize the 3C resource tradeoff curve. These results reveal key insights into the fundamental benefits of computing and caching in vehicular mobile content delivery networks.
The emergence of self-driving technologies implies that a future vehicle will likely become an entertainment center that demands personalized multimedia contents with very high quality. The surge of vehicular content demand brings significant challenges for the fifth generation（5G） cellular communication network. To cope with the challenge of massive content delivery, previous studies suggested that the 5G mobile edge network should be designed to integrate communication, computing, and cache（3C） resources to enable advanced functionalities such as proactive content delivery and in-network caching. However, the fundamental benefits achievable by computing and caching in mobile communications networks are not yet properly understood. This paper proposes a novel theoretical framework to characterize the tradeoff among computing, cache, and communication resources required by the mobile edge network to fulfill the task of content delivery. Analytical and numerical results are obtained to characterize the 3C resource tradeoff curve. These results reveal key insights into the fundamental benefits of computing and caching in vehicular mobile content delivery networks.
基金
the support from the Natural Science Foundation of China (Grant No.61571378)
作者简介
Jiping Jiao, received his B.S. degree in electronic information engineering from Hainan University, Haikou, Hainan, China, in 2008. He is currently working toward the Ph.D degree with a major in wireless communications in the School of Information Science and Engineering, Xiamen University, Xiamen, Fujian, China. His research interests mainly include cognitive radio networks and their resource scheduling algorithm design.;Xuemin Hong, （S＇05-M＇12） received his Ph.D. degree from Heriot-Watt University, UK, in 2008. He is currently a professor at Xiamen University, China. He has published one book chapter and over 60 papers in refereed journals and confer-ence proceedings. His research interests include cognitive radio networks, wireless channel modeling, and fifth-generation mobile communications.;The corresponding author, email： shijh@xmu.edu.cn,Jianghong Shi, received his PhD from Xiamen University, China, in 2002. He is currently a professor in the School of Information Science and Engineering, Xiamen University. He is also the director of the West Straits Communications Engineering Center, Fujian Province, China. His research interests include wireless communication networks and satellite navigation systems.
