Adaptive Bandwidth Allocation Method for Long Range Dependence Traffic

Abstract

In this paper, we propose a new method to allocate bandwidth adaptively according to the amount of input traffic volume for a long range dependent traffic requiring Quality of Service (QoS). In the proposed method, we divide the input process, which is modelled by an M/G/∞ input process, into two sub-processes, called a long time scale process and a short time scale process. For the long time scale process we estimate the required bandwidth using the linear prediction. Since the long time scale process varies (relatively) slowly, the required bandwidth doesn't need to be estimated frequently. On the other hand, for the short time scale process, we use the large deviation theory to estimate the effective bandwidth of the short time scale process based on the required QoS of the input traffic. By doing this we can capture the short time scale fluctuation by a buffer and the long time scale fluctuation by increasing or decreasing the bandwidth adaptively. Through simulations we verify that our proposed method performs well to satisfy the required QoS.

Novel Queueing Model for Multimedia Over Downlink in 3.5G Wireless Network

“…, having the same structure, as the matrix (10), but the matrix 0 D on diagonal blocks is replaced with…”

“…Other works considered performance study of the HSDPA system taking into account system details rather than the multimedia traffic characteristics [15]. Attempts to capture some characteristics of the multimedia traffic analytically were made by several authors such as using self-similar traffic [6], [10], Generalised Exponential (GE) Distribution [3], or Batch Markov Arrival Process [5], [7], [13]. A common weakness in all previous models is that even if they capture correlation which an important feature of the multimedia traffic (GE does not even capture correlation), they consider the two flows independent of each other.…”