An introduction to fuzzy control
An introduction to fuzzy control
Managing QoS for Multimedia Applications in a Differentiated Services Environment
AMS '02 Proceedings of the Fourth Annual International Workshop on Active Middleware Services
First Course On Fuzzy Theory And Applications.
First Course On Fuzzy Theory And Applications.
Fundamentals of WiMAX: Understanding Broadband Wireless Networking (Prentice Hall Communications Engineering and Emerging Technologies Series)
Broadband Wireless Access (BWA) Implementation in NGN Network
CTRQ '08 Proceedings of the 2008 International Conference on Communication Theory, Reliability, and Quality of Service
WiMAX: Technologies, Performance Analysis, and QoS
WiMAX: Technologies, Performance Analysis, and QoS
ICOSSSE'08 Proceedings of the 7th WSEAS international conference on System science and simulation in engineering
A Survey on Mobile WiMAX [Wireless Broadband Access]
IEEE Communications Magazine
Quality-of-service routing for supporting multimedia applications
IEEE Journal on Selected Areas in Communications
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Quality of service is a challenging problem in networks that offer multimedia services. WiMAX technology is able to offer multimedia services. Network quality of service for offering multimedia services depends on link utilization: better link utilization improves quality of service in a network. For satisfying QoS requirements in WiMAX technology we should take into consideration the most important metrics that affect directly to the QoS. In this paper we will consider four metrics: required recourses, buffer size packet queues, delay and losses. Those metrics affect directly in link utilization. It is very difficult job to consider three or more metrics simultaneously, but using soft computing this is possible. Fuzzy logic is the main branch of soft computing. We will use intelligent controlling techniques that are based on fuzzy logic for solving different problems in aspect of link utilization. The aim is to obtain better values of link utilization using different rules from Rule Editor and using appropriate defuzzification method. We will use MATLAB software for designing fuzzy logic controller. With MATLAB software we will see which rule (from Rule Editor) and which defuzzication method gives better results in aspect of link utilization.