DocumentCode :
1857350
Title :
A Dynamic Spectrum Assignment Method Based on Call Blocking Probability Prediction in WiFi/WiMAX Integrated Networks
Author :
Kinoshita, Kazuhiko ; Kanamori, Yuichi ; Kawano, Keita ; Murakami, Koso
Author_Institution :
Dept. of Inf. Networking, Osaka Univ., Suita, Japan
fYear :
2010
fDate :
2-5 Aug. 2010
Firstpage :
1
Lastpage :
6
Abstract :
With advances in communication technologies, network services provided via the Internet have been widely diversified, and people can use these services not only via wired networks but also via wireless networks. There are several wireless systems in practical use such as cellular, WiMAX and WiFi. Although these wireless network systems have developed independently of each other, they should be integrated for seamless access by users. On the other hand, each system uses an individual spectrum prescribed by law to avoid radio interference. To overcome this problem, dynamic spectrum access technology receives much attention. We propose a dynamic spectrum assignment method in which a WiFi system temporarily uses a spectrum band of the WiMAX system in WiFi/WiMAX integrated networks to reduce call blocking probability of multimedia communication services. We confirm the effectiveness of the proposed method by simulation experiments.
Keywords :
WiMax; multimedia communication; probability; radiofrequency interference; wireless LAN; Internet; Wi-Fi-WiMax integrated networks; call blocking probability prediction; cellular wireless system; dynamic spectrum access technology; dynamic spectrum assignment method; multimedia communication services; radio interference; IEEE 802.11 Standards; Mobile communication; Quality of service; Resource management; WiMAX; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Communications and Networks (ICCCN), 2010 Proceedings of 19th International Conference on
Conference_Location :
Zurich
ISSN :
1095-2055
Print_ISBN :
978-1-4244-7114-0
Type :
conf
DOI :
10.1109/ICCCN.2010.5560068
Filename :
5560068
Link To Document :
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