Performance Analysis of Multichannel and Multi-Traffic on Wireless Communication Networks
Performance Analysis of Multichannel and Multi-Traffic on Wireless Communication Networks
An analytical model based on G/M/1 with self-similar input to provide end-to-end QoS in 3G networks
Proceedings of the 4th ACM international workshop on Mobility management and wireless access
Vacation Queueing Models: Theory and Applications (International Series in Operations Research & Management Science)
Multiclass G/M/1 queueing system with self-similar input and non-preemptive priority
Computer Communications
The power saving mechanism with binary exponential traffic indications in the IEEE 802.16e/m
Queueing Systems: Theory and Applications
Waiting time analysis of BMAP vacation queue and its application to IEEE 802.16e sleep mode
Proceedings of the 4th International Conference on Queueing Theory and Network Applications
The impact of self similar traffic on wireless LAN
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
An enhanced energy saving scheme in mobile broadband wireless access systems
WASA'06 Proceedings of the First international conference on Wireless Algorithms, Systems, and Applications
On multimedia networks: self-similar traffic and network performance
IEEE Communications Magazine
Computer Networks: The International Journal of Computer and Telecommunications Networking
System modeling and performance analysis of the power saving class type II in BWA networks
Journal of Global Optimization
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In this paper, we present an effective method to analyze the performance of the power saving class type III initiated by the base station with unsolicited MOB_SLP-RSP or DL sleep control extended subheader in a self-similar traffic. We build a batch arrival queueing model, in which the batch size is described by a random variable following a Pareto(c,@a) distribution in order to capture the self-similar property in multimedia WiMAX based on the IEEE 802.16. By using the discrete-time embedded Markov chain, we can examine and analyze the power saving class type III systems for the following items: the probability generating functions of the number of data frames and batches when the busy period begins, the queueing length, the waiting time and finally the busy cycle. With the first and higher derivatives of the probability generating functions, we can give the averages and the standard deviations for the system performance using the diffusion approximation for the operation process of the system. Next, we give the formulas for the system performance such as the energy saving ratio, the switching ratio, the system utility and the response time of data frames. Moreover, we construct a cost function with the aim of determining the optimal sleep window length that minimizes the cost function. Numerical results are provided with analysis and simulation to show the average performance measures, standard deviations and a cost function with different degrees of self-similarity and different sleep window lengths.