TY - JOUR
T1 - Big Data Driven Wireless Communications
T2 - A Human-in-the-Loop Pushing Technique for 5G Systems
AU - Yan, Qi
AU - Chen, Wei
AU - Poor, H. Vincent
N1 - Funding Information:
Acknowledgment This research was supported in part by the U.S. National Science Foundation under Grants CCF-1420575 and CNS-1456793, the National Natural Science Foundation of China under Project Nos. 61671269 and 61621091, and the Chinese National 973 Program under Project No. 2013CB336600.
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2018/2
Y1 - 2018/2
N2 - The emergence of big data analytics makes it possible to extract and predict user demand from a significant volume of data that are collected from mobile networks. Accurate prediction of user demand based on big data provides the fundamental information for proactive pushing and caching, which can efficiently obtain capacity gains by making full use of idle spectrum when the network is off-peak. In this article, a »human-in-theloop» system combining prediction based on big data analytics with proactive pushing and caching technology is constructed. The key module and some design issues with this system are explained. By taking user demand into account in the humanin-the-loop system, the proposed framework opens up new opportunities in data-driven proactive communication.
AB - The emergence of big data analytics makes it possible to extract and predict user demand from a significant volume of data that are collected from mobile networks. Accurate prediction of user demand based on big data provides the fundamental information for proactive pushing and caching, which can efficiently obtain capacity gains by making full use of idle spectrum when the network is off-peak. In this article, a »human-in-theloop» system combining prediction based on big data analytics with proactive pushing and caching technology is constructed. The key module and some design issues with this system are explained. By taking user demand into account in the humanin-the-loop system, the proposed framework opens up new opportunities in data-driven proactive communication.
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U2 - 10.1109/MWC.2018.1700209
DO - 10.1109/MWC.2018.1700209
M3 - Article
AN - SCOPUS:85043274724
SN - 1536-1284
VL - 25
SP - 64
EP - 69
JO - IEEE Wireless Communications
JF - IEEE Wireless Communications
IS - 1
ER -