Second International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks (QSHINE'05)
Finite Buffer Queue Analysis and Scheduling for Heavy-Tailed Traffic in Packet-SwitchingWireless Networks
Orlando, Florida
August 22-August 24
ISBN: 0-7695-2423-0
Recent research based on traffic measurements shows that Internet traffic flows have a fractal nature (i.e., selfsimilarity property), which causes an underestimation of network engineering parameters when using the conventional Poisson model. Preliminary field measurements demonstrate that packet data traffic in wireless communications also exhibits self-similarity. In this paper, we investigate the queuing behavior of self-similar traffic flows for data applications in packet-switching wireless networks. The traffic is generated by an on-off source with heavytailed on periods. We extend a previous relationship among the asymptotic distribution of loss probability, finite buffer size, traffic specifications, and transmission rate for a wireline system to a wireless system, taking into account wireless propagation channel characteristics. We also investigate the multiplexing of heavy-tailed traffic flows with a fi- nite buffer for the downlink transmission of a cellular network. Computer simulation results demonstrate that assumptions made in the theoretical analysis are reasonable and the derived relationship is accurate.
Index Terms:
Finite buffer, loss probability, queueing analysis, self-similarity, wireless packet data.
Citation:
Shahram Teymori, Weihua Zhuang, "Finite Buffer Queue Analysis and Scheduling for Heavy-Tailed Traffic in Packet-SwitchingWireless Networks," qshine, pp.19, Second International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks (QSHINE'05), 2005
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