Abstract. A core challenge in wireless communication is choosing appropriate transmission rates for packets. This rate selection problem is well understood ...
Oct 13, 2016 · This paper tackles this problem from an algorithmic perspective: identifying near optimal strategies for selecting rates that guarantee every ...
This paper tackles this problem from an algorithmic perspective: identifying near optimal strategies for selecting rates that guarantee every receiver achieves ...
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Seth Gilbert, Calvin Newport, and Tonghe Wang "Bounds for Blind Rate Adaptation" Juried Conference Paper Appearing in the Proceedings of the International ...
The MD rate adaptation consists in adapting the rate as fast as possible, every 15 minutes here, solely based on the last monitored SNR value.
This paper deals with minimax rates of convergence for estimation of density functions on the real line. The densities are assumed to be location mixtures of ...
Title: Bounds for Blind Rate Adaptation. Seth Gilbert, and Calvin Newport, ”Bounds for Blind Rate Adaptation” in Proceedings of the International Conference ...
PDF | This paper focuses on performance bounds for estimating the frequency and the phase of a received signal when the complex amplitude of the signal.
In Bayesian online settings, every element has a value that is drawn from a known underlying distribution, which we refer to as the element's identity.
Missing: Rate Adaptation.
We introduce a family of “blind” pricing policies that are designed to balance trade-offs between exploration (demand learning) and exploitation (pricing to ...