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coding_over_interference_channels-_an_information-estimation_view [2016/09/01 19:15] (current) |
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+ | Shlomo Shamai, Dept. EE, Technion | ||
+ | "Coding over Interference Channels: An Information-Estimation View" | ||
+ | ------------------------------------------------------------------ | ||
+ | |||
+ | The information-estimation relation is used to gain insight into | ||
+ | useful coding schemes operating over the Gaussian interference channel. | ||
+ | |||
+ | After reviewing basic I-MMSE relations and their implications | ||
+ | on point-to-point coding over the Gaussian channel, | ||
+ | we focus on the Gaussian interference channel. | ||
+ | Here the inflicted interference is measured by the associated minimum | ||
+ | mean square error (MMSE). | ||
+ | Structure of codes achieving reliable communication at some specific | ||
+ | signal-to-noise ratio (SNR) and constrained by the permitted | ||
+ | MMSE at a lower SNR values, modeling the interference, are | ||
+ | discussed. It is shown that layered superposition codes attain optimal | ||
+ | performance, providing thus some engineering insight to the relative | ||
+ | efficiency of the Han-Kobayashi coding strategy. | ||
+ | |||
+ | The Degrees-of-Freedom (DoF) behavior of the multi-user Gaussian | ||
+ | interference channel is captured by considering the MMSE-Dimension concept, | ||
+ | providing a general expression for the DoF. | ||
+ | A short outlook concludes the presentation, addressing related | ||
+ | research challenges, and also recent results, | ||
+ | where interference is measured by the corresponding mutual information. | ||
+ | ------------------------------------------------------------------------------ | ||
+ | Joint work with Ronit Bustin, Technion. |