Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
TCP-Peach: a new congestion control scheme for satellite IP networks
IEEE/ACM Transactions on Networking (TON)
Linear System Theory and Design
Linear System Theory and Design
Enhancing TCP fairness in ad hoc wireless networks using neighborhood RED
Proceedings of the 9th annual international conference on Mobile computing and networking
A duality model of TCP and queue management algorithms
IEEE/ACM Transactions on Networking (TON)
Linear stability of TCP/RED and a scalable control
Computer Networks: The International Journal of Computer and Telecommunications Networking
The Mathematics of Internet Congestion Control (Systems and Control: Foundations and Applications)
The Mathematics of Internet Congestion Control (Systems and Control: Foundations and Applications)
Global stability of internet congestion controllers with heterogeneous delays
IEEE/ACM Transactions on Networking (TON)
Enhancing wireless TCP: a serialized-timer approach
INFOCOM'10 Proceedings of the 29th conference on Information communications
Transmission control protocol (TCP) in wireless networks: issues, approaches, and challenges
IEEE Communications Surveys & Tutorials
IEEE Network: The Magazine of Global Internetworking
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In order to maintain a small, stable backlog at the router buffer, active queue management (AQM) algorithms drop packets probabilistically at the onset of congestion, leading to backoffs by Transmission Control Protocol (TCP) flows. However, wireless losses may be misinterpreted as congestive losses and induce spurious backoffs. In this paper, we raise the basic question: Can AQM maintain a stable, small backlog under wireless losses? We find that the representative AQM, random early detection (RED), fails to maintain a stable backlog under time-varying wireless losses. We find that the key to resolving the problem is to robustly track the backlog to a preset reference level, and apply the control-theoretic vehicle, internal model principle, to realize such tracking. We further devise the integral controller (IC) as an embodiment of the principle. Our simulation results show that IC is robust against time-varying wireless losses under various network scenarios.