期刊
IEEE COMMUNICATIONS MAGAZINE
卷 55, 期 12, 页码 91-95出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MCOM.2017.1700481
关键词
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资金
- National Natural Science Foundation of China [61571240, 61671474]
- Jiangsu Science Fund for Excellent Young Scholars [BK20170089]
- ZTE program The Prediction of Wireline Network Malfunction and Traffic Based on Big Data
- Priority Academic Program Development of Jiangsu Higher Education Institutions
With the increasing popularity of traffic-intensive video applications, UDNs are treated as one of the most promising technologies for massive video delivery. However, due to the drastic interference between neighboring cells, how to achieve high energy and spectrum efficiency is still an open and challenging problem. This work proposes a systematic solution for content delivery over UDNs by integrating collaboration with intelligence. In particular, we first design a hybrid video coding scheme that is flexible and robust to the dynamic wireless environment. Then an active and proactive video update strategy is designed by intelligently alleviating the impact of the interference. Finally, a collaborative video scheduling scheme is developed to maximize the video quality as well as the energy and spectrum efficiency. Importantly, we summarize three fundamental design guidelines, and believe that they are useful for improving the transmission capacity of UDNs.
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