2019/12/02 by Veronica Quintuna Rodriguez, Rodriguez, Veronica Quintuna, Fabrice Guillemin +1
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Distributed #FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI) #Parallel #Software-Defined Networks and 5G #Telecommunications and Broadcasting Technologies #and Cluster Computing (cs.DC)
paper · pdf · doi:10.48550/arxiv.1912.00842
openalex publication_date 2019/12/02 · openalex created_date 2019/12/05 · openalex updated_date 2026/07/28
This dissertation paper presents the main contributions to the design and the implementation of a Cloud-RAN solution. We concretely address the two main challenges of Cloud-RAN systems: real-time processing of radio signals and reduced fronthaul capacity. We propose a multi-threading model to achieve latency reduction of critical RAN functions as well as an adapted functional split for optimizing the transmission of radio signals. We model the performance of the proposed solution by means of stochastic service systems which reflect the behavior of high performance computing architectures based on parallel processing and yield dimensioning rules for the required computing capacity. Finally, we validate the accuracy of the theoretical proposals by a Cloud-RAN testbed implemented on the basis of open source solutions, namely Open Air Interface (OAI).