A new method for traffic forecasting in urban wireless communication network-Reference-Cited by-同舟云学术

A new method for traffic forecasting in urban wireless communication network

Published:2019-03-15 Issue:1 Volume:2019 Page:
ISSN:1687-1499
Container-title:EURASIP Journal on Wireless Communications and Networking
language:en
Short-container-title:J Wireless Com Network

Author:

Zhang Kaisa,Chuai Gang,Gao Weidong,Liu Xuewen,Maimaiti Saidiwaerdi,Si Zhiwei

Funder

National Science and Technology Major Project

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Signal Processing

Link

http://link.springer.com/content/pdf/10.1186/s13638-019-1392-6.pdf

Reference25 articles.

1. Z. Wang, S. Zhang, in 2016 IEEE 14th Intl Conf on Dependable, Autonomic & Secure Computing, 14th Intl Conf on Pervasive Intelligence & Computing, 2nd Intl Conf on Big Data Intelligence & Computing & Cyber Science & Technology Congress (DASC/PiCom/DataCom/CyberSciTech). CDR based temporal-spatial analysis of anomalous mobile users. p. 710–714 (2016). https://ieeexplore.ieee.org/document/7588924 .

2. S.C. Nair, M.S. Elayidom, S. Gopalan, 2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS). Impact of CDR Data Analysis Using Big Data Technologies for the Public: an Analysis. p. 1–6 (2017). https://ieeexplore.ieee.org/document/8014651 .

3. S. Jiang, J. Ferreira, M.C. Gonzalez, Activity-based human mobility patterns inferred from mobile phone data: a case study of Singapore. IEEE Trans. Big Data 3(2), 208–219 (2017).

4. E. Siggiridou, D. Kugiumtzis, Granger causality in multivariate time series using a time-ordered restricted vector autoregressive model[J]. IEEE Trans. Signal Process. 64(7), 1759–1773 (2016).

5. C. Hiemstra, J. Jones, Testing for linear and nonlinear Granger causality in the stock price-volume relation. J. Financ. 49(5), 1639 (1994).

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