Utility-Ratio Based Adaptive Admission Control Algorithm with Probability in IEEE 802.16 Network
基于收益率的IEEE 802.16自适应概率接纳控制算法

Admission Control(AC)plays a significant role in providing the desired Quality of Service(QoS)inBroadband Wireless Access(BWA).In this paper,a unitive Utility-ratio based adaptive Admission Controlalgorithm(UAC)with probability and the Enhanced algorithm EUAC which simplify the computation complexityare presented for miscellaneous QoS definition in IEEE802.16 network,followed by their performance analysis.Thesimulation results demonstrate the adaptive algorithms can adaptively shift admission strategy base on currentresources and system load,obviously and reasonably classify service flows by their utility-ratio.The simulation alsoillustrate adaptive algorithms have notable advantages in both throughput and utility.Furthermore,thealgorithms rationally restrict the flows with lower utility-ratio to avoid degrading admitted flows with higherutility-ratio while holding high resource utilization.