Failure Reasons Identification for the Next Generation WLAN: A Machine Learning Approach-Reference-Cited by-同舟云学术

Failure Reasons Identification for the Next Generation WLAN: A Machine Learning Approach

Published:2020 Issue: Volume: Page:417-426
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:
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Author:

Jiang Zhaozhe,Li Bo,Yang Mao,Yan Zhongjiang,Yang Qi

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-44751-9_35

Reference14 articles.

1. Zheng, Y., Shi, T., Xu, X., Yuan, H., Yao, T.: Research on WLAN planning problem based on optimization models and multi-agent algorithm. In: 2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM), Ningbo, pp. 249–254 (2017)

2. Zhou, R., Li, B., Yang, M., Yan, Z., Zuo, X.: QoS-oriented OFDMA MAC protocol for the next generation WLAN. Xibei Gongye Daxue Xuebao/J. Northwest. Polytechnical Univ. 35, 683–689 (2017)

3. Jiang, S.: State-of-the-art medium access control (MAC) protocols for underwater acoustic networks: a survey based on a MAC reference model. IEEE Commun. Surv. Tutor. 20(1), 96–131 (2018)

4. Firdaus, F., Ahmad, N.A., Sahibuddin, S.: Effect of people around user to WLAN indoor positioning system accuracy. In: 2017 Palestinian International Conference on Information and Communication Technology (PICICT), Gaza City, pp. 17–21 (2017)

5. Chen, Y., Chen, I., Shih, K.: An In-band full duplex MAC protocol with interference free for next generation WLANs. In: 2018 International Conference on Electronics Technology (ICET), Chengdu, pp. 407–410 (2018)