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The uplink of a Cloud Radio Access Network (CRAN) architecture is studied,where decoding at the cloud takes place at distributed decoding processors. Tomitigate the impact of straggling decoders in the cloud, the cloud re-encodesthe received frames via a linear code before distributing them to the decodingprocessors. Focusing on Gaussian channels, and assuming the use of latticecodes at the users, in this paper the maximum user rate is derived such thatall the servers can reliably recover the linear combinations of the messagescorresponding to the employed linear code at the cloud. Furthermore, twoanalytical upper bounds on the frame error rate (FER) as a function of thedecoding latency are developed, in order to quantify the performance of thecloud's linear code in terms of the tradeoff between FER and decoding latencyat the cloud.

Coded Computation Against Distributed Straggling Channel Decoders in the Cloud for Gaussian Uplink Channels