ACM SIGCOMM Computer Communication Review · 2011 · 46 citations · 27 references
EngineeringComputer EngineeringComputer ScienceMobile ComputingMobile SystemsWireless CommunicationsChannel CapacityChannel CodingMobile CommunicationNetwork ProtocolsWireless Channel ModelingWireless Communication ProtocolsChannel State InformationChannelsEmpirical EvaluationGaussian ChannelsRateless CodesScheduler DesignThroughputWireless Communication Channels
This paper presents Strider, a system that automatically achieves near‑optimal rate adaptation with zero overhead. Strider employs a novel rateless, collision‑resilient code that adapts to time‑varying wireless channels and decodes collided packets, delivering throughput comparable to collision‑free scheduling. Theoretical analysis shows Strider reaches Shannon capacity on Gaussian channels, and experiments demonstrate it outperforms SoftRate by 70 % in mobile scenarios and up to 2.8× in contention scenarios.
This paper presents the design, implementation and evaluation of Strider, a system that automatically achieves almost the optimal rate adaptation without incurring any overhead. The key component in Strider is a novel code that has two important properties: it is rateless and collision-resilient. First, in time-varying wireless channels, Strider's rateless code allows a sender to effectively achieve almost the optimal bitrate, without knowing how the channel state varies. Second, Strider's collision-resilient code allows a receiver to decode both packets from collisions, and achieves the same throughput as the collision-free scheduler. We show via theoretical analysis that Strider achieves Shannon capacity for Gaussian channels, and our empirical evaluation shows that Strider outperforms SoftRate, a state of the art rate adaptation technique by 70% in mobile scenarios and by upto 2.8× in contention scenarios.
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Information Theory, Inference, and Learning Algorithms
Kybernetes · 2004 · 5.1K citations
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