A Control Theoretic Approach for Designing Adaptive AQM Schemes

In this paper, we use a control theoretic approach to develop a generic framework for analyzing various active queue management (AQM) schemes as proportional-integral-derivative (PID) controllers. Based on this PID model, we propose an adaptive control mechanism to improve the system stability and performance under changing network conditions. We then present a generic implementation of the PID controller by introducing a derivative control into a PI controller. In addition, we propose an improved Adaptive Virtual Queue (AVQ) scheme with explicit queue length control. A simulation study under a wide range of traffic conditions suggests that the proposed algorithms outperform the existing AQM schemes in achieving better system performance and stability.