@inproceedings{fb5851b9f70d49e9933ddc86640b33ba,
title = "Compressed sensing based traffic prediction for 5G HetNet IoT Video streaming",
abstract = "Nowadays, IoT video applications are in a sharp rise, various real-time video streaming of video surveillance systems transmitted via Internet are widely investigated. The real-time video surveillance can actively monitor and detect the abnormal events in time. In 5G HetNets, we specifically develop a compressed sensing based linear predictor to predict the traffic load at the next moment. The results justify that our proposed method can forecast the traffic load and improve system performance.",
keywords = "5G, Compressed sensing, IoT, Traffic Prediction, Video streaming",
author = "Shuangli Wu and Wei Mao and Tao Hong and Cong Liu and Michel Kadoch",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 15th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2019 ; Conference date: 24-06-2019 Through 28-06-2019",
year = "2019",
month = jun,
doi = "10.1109/IWCMC.2019.8766662",
language = "英语",
series = "2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1901--1906",
booktitle = "2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019",
address = "美国",
}