2018/05/29 by Jinwen Shi, Shi, Jinwen, Cong Ling +5
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Cooperative Communication and Network Coding #Error Correcting Code Techniques #FOS: Computer and information sciences #Information Theory (cs.IT) #Wireless Communication Security Techniques
paper · pdf · doi:10.48550/arxiv.1805.11698
openalex publication_date 2018/05/29 · openalex created_date 2022/10/02 · openalex updated_date 2026/07/28
The uplink of a Cloud Radio Access Network (CRAN) architecture is studied,\nwhere decoding at the cloud takes place at distributed decoding processors. To\nmitigate the impact of straggling decoders in the cloud, the cloud re-encodes\nthe received frames via a linear code before distributing them to the decoding\nprocessors. Focusing on Gaussian channels, and assuming the use of lattice\ncodes at the users, in this paper the maximum user rate is derived such that\nall the servers can reliably recover the linear combinations of the messages\ncorresponding to the employed linear code at the cloud. Furthermore, two\nanalytical upper bounds on the frame error rate (FER) as a function of the\ndecoding latency are developed, in order to quantify the performance of the\ncloud's linear code in terms of the tradeoff between FER and decoding latency\nat the cloud.\n