Simulation of Collision Resolution Algorithm Based on Self-similar Traffic Model
The traditional traffic models are mostly based on Poisson model or Bernoulli process. However, in recent decade, it has been found in traffic measurements the coexistence of both long-range and short-range dependences in network traffic. Collision resolution algorithm (CRA) is an efficient strategy to improve the performance of multiple access protocols, and achieves the highest capacity among all known multiple access protocols under the Poisson traffic model. In this paper, extensive simulation experiments are conducted to obtain the performances of CRA under the self-similar traffic model. Two traffic models are examined: (1) the fractional autoregressive integrated moving average (FARIMA) process with non-Gaussian white driving sequence; (2) real traffic traces captured at a well-attended ACM conference. Our study demonstrates that the existing well-known algorithms must be improved to adapt the self-similar traffic model.
Shuangmao Yang Wei Guo Wei Tang
National Anti-Interference Communication Technology Laboratory, University of Electronic Science and Technology of China, Chengdu, 610054,China
国际会议
2009国际通信电路与系统学术会议(ICCCAS 2009)(2009 International Conference on Communications，Circuits and Systems)
成都
英文
182-186
2009-07-23（万方平台首次上网日期，不代表论文的发表时间）