Novel learning-based spatial reuse optimization in dense WLAN deployments-Reference-Cited by-同舟云学术

Novel learning-based spatial reuse optimization in dense WLAN deployments

Published:2016-08-15 Issue:1 Volume:2016 Page:
ISSN:1687-1499
Container-title:EURASIP Journal on Wireless Communications and Networking
language:en
Short-container-title:J Wireless Com Network

Author:

Jamil Imad,Cariou Laurent,Hélard Jean-François

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/s13638-016-0632-2.pdf

Reference33 articles.

1. IEEE Std 802.11-2012 (Revision of IEEE Std 802.11-2007), IEEE Standard for Information technology—Telecommunications and information exchange between systems local and metropolitan area networks— specific requirements. Part 11: wireless LAN medium access control (MAC) and physical layer (PHY) specifications (IEEE, 2012).

2. A Baid, D Raychaudhuri, Understanding channel selection dynamics in dense Wi-Fi networks. IEEE Commun. Mag. 53:, 110–117 (2015).

3. iPass Wi-Fi service provider, The global public Wi-Fi network grows to 50 million worldwide Wi-Fi hotspots. http://www.ipass.com/press-releases/the-global-public-wi-fi-network-grows-to-50-million-worldwide-wi-fi-hotspots .

4. IEEE 802.11 High efficiency wireless local area networks (HEW) study group. http://www.ieee802.org/11/Reports/hew_update.htm .

5. IEEE 802.11ax task group for high efficiency WLAN (HEW). http://www.ieee802.org/11/Reports/tgax_update.htm .

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