Title :
Wi-Fi load balancing using cognitive radio techniques
Author :
Ruslan, Rafiza ; Wan, Tat-Chee
Author_Institution :
Fac. of Comput. & Math. Sci., Univ. Teknol. MARA (UiTM), Arau, Malaysia
Abstract :
The current growth of IEEE 802.11 WLAN brings the need to apply intelligent load balancing techniques in order to optimize the overall network performance. Recent studies on WLAN have shown that access points (AP) load is often uneven. To avoid this situation, several load balancing scheme have been proposed. In this paper, we proposed a new AP-driven load balancing scheme which utilizes the capabilities of cognitive radio (CR) techniques based on cell breathing. The CR incorporates fuzzy controller to decide on the transmission power level. Adjusting of transmission power enables the AP to dynamically modify its cell boundaries in order to balance the AP load.
Keywords :
cognitive radio; fuzzy control; resource allocation; wireless LAN; Wi-Fi load balancing; cell breathing; cognitive radio techniques; fuzzy controller; intelligent load balancing techniques; Chromium; Cognitive radio; Computer architecture; IEEE 802.11 Standards; Interference; Load management; Wireless LAN;
Conference_Titel :
Information Technology (ITSim), 2010 International Symposium in
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-6715-0
DOI :
10.1109/ITSIM.2010.5561338