Abstract:

To study the characteristics of traffic behavior in wireless mobile networks, a continuoustime semiMarkov process model (CTSMM) is proposed. Based on the large amount of traffics gathered from real wireless networks in China, the characteristics of traffic behavior are analyzed deeply. Specifically, the session arrival, the session duration and the session traffic size for single cell and multiple cells environments are studied. CTSMM is proposed to characterize traffic behavior. Meanwhile, based on the collected traffic data, the proposed model is verified for reflecting the properties of the traffic behavior in wireless networks. Using this model, the wireless network design, the resource management optimization, and the dynamic wireless spectrum utilization, are well performed.

Key words: traffic behavior, behavior model, self similarity, characteristics analysis, semi Markov model