Traffic Prediction Based Power Saving in Cellular Networks-Reference-Cited by-同舟云学术

Traffic Prediction Based Power Saving in Cellular Networks

Published:2017-11-07 Issue: Volume: Page:
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Container-title:Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
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Author:

Zhang Sheng¹,Zhao Shenglin²,Yuan Mingxuan³,Zeng Jia³,Yao Jianguo¹,Lyu Michael R.⁴,King Irwin⁴

Affiliation:

1. Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiaotong University, Shanghai, China

2. Shenzhen Key Laboratory of Rich Media Big Data Analytics and Application, Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China and Department of Computer Science & Engineering, The Chinese University of Hong Kong, Hong Kong and Huawei Noah's Ark Lab, Hong Kong

3. Huawei Noah's Ark Lab, Hong Kong

4. Shenzhen Key Laboratory of Rich Media Big Data Analytics and Application, Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China and Department of Computer Science & Engineering, The Chinese University of Hong Kong, Hong Kong

Funder

National Natural Science Foundation of China

Research Grants Council, University Grants Committee

Science and Technology Commission of Shanghai Municipality

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3139958.3140053

Reference45 articles.

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2. Leo Breiman Jerome Friedman Charles J Stone and Richard A Olshen. 1984. Classification and regression trees. CRC press. Leo Breiman Jerome Friedman Charles J Stone and Richard A Olshen. 1984. Classification and regression trees. CRC press.

3. Peter J Brockwell and Richard A Davis. 2016. Introduction to time series and forecasting. springer. Peter J Brockwell and Richard A Davis. 2016. Introduction to time series and forecasting. springer.

4. Toward accurate energy-efficient cellular network

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