A hybrid CAC algorithm for maximizing downlink capacity of M-WiMAX systems

Abstract

Due to the implementation of an Adaptive Modulation-Coding (AMC) mechanism in the 802.16e physical layer, each connection's bandwidth requirements cannot be statically computed, but they derive as a function of the terminals' instantaneous Signal-to-Noise Ratio (SNR). Therefore, the Connection Admission Control (CAC) mechanism fails to establish an efficient policy that would optimally exploit the system's resources. In this respect, the present paper formulates initially an adequate method for statistically calculating the average capacity of a Mobile-WiMAX system, according to the distribution of the several attenuation factors that affect the signal along the propagation path. In parallel, based on the processing of the terminal's SNR samples, a sophisticated algorithm for filtering out any misleading measurements is developed. This second method aims at predicting the upcoming Modulation-Coding state of every connection, so as to acquire a short-term view of its spectrum demands. Finally, all the above info collected from both the estimation methods is utilized by the CAC procedure in order to perform an as accurate as possible computation of the resource availability. As a result, this hybrid approach succeeds in maximizing the network revenue through significantly increasing the number of concurrently serviced connections while guaranteeing their Quality of Service (QoS) standards.

A Self-Similar Call Admission Control Algorithm in WiMAX

“…Thus, parameters and the algorithm for estimating the network traffic and the strategy of CAC decision are key point of CAC. At present, most proposed CAC technologies for Wi-MAX networks [3]- [10] use the classical Poisson process to describe the network traffic and focus on the design and optimization of decision strategy. While they ignored the effect that the network traffic model has a great impact on CAC decision.…”