Title :
Effect of wireless channel process on queueing delay - approximate analysis using peakedness function
Author :
Ekbal, Amal ; Cioffi, John M.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
Abstract :
Time variation of wireless channels can have a serious effect on the quality of service (QoS) experienced by the data streams. However, these channel processes cannot be easily characterized within a queueing theory framework. In this work, the burstiness properties of the wireless channel process are captured using its peakedness function. The channel process is then replaced by a renewal process with the same peakedness function to enable analysis based on queueing theory results. Simulations show that the approximate queue formed using peakedness matching is a very good predictor of the QoS behavior of the original queue.
Keywords :
data communication; mobile radio; quality of service; queueing theory; telecommunication traffic; QoS; approximate analysis; burstiness properties; data streams; peakedness function; peakedness matching; quality of service; queueing delay; queueing theory; renewal process; time variation; wireless channel process; Delay effects; Hidden Markov models; Physical layer; Predictive models; Quality of service; Queueing analysis; Random processes; Telecommunication traffic; Traffic control;
Conference_Titel :
Communications, 2005. ICC 2005. 2005 IEEE International Conference on
Print_ISBN :
0-7803-8938-7
DOI :
10.1109/ICC.2005.1494396
