Technical Program

Paper Detail

Paper IDD.1.1
Paper Title Coded Computation Against Straggling Channel Decoders in the Cloud for Gaussian Channels
Authors Jinwen Shi, Cong Ling, Imperial College London, United Kingdom; Osvaldo Simeone, King's College London, United Kingdom; Jörg Kliewer, New Jersey Institute of Technology, United Kingdom
Session D.1: Coded Computation
Presentation Lecture
Track Coded and Distributed Computation
Manuscript  Click here to download the manuscript
Virtual Presentation  Click here to watch in the Virtual Symposium
Abstract The uplink of a Cloud Radio Access Network (C-RAN) architecture is studied, where decoding in the cloud takes place at distributed decoding processors. To mitigate the impact of straggling decoders in the cloud, the cloud re-encodes the received frames via a linear code before distributing them to the decoding processors, which estimate linear combinations of the codewords. Focusing on Gaussian channels, and assuming the use of lattice codes at the users, we derive the computational rates and frame error probabilities at the cloud. The approach differs from Compute-and-Forward in that the combination of codewords is not caused by the channel but purposefully created in the cloud by encoding the received signals to reduce the decoding delay.

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2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

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