Micro-Orchestration of RAN Functions Accelerated in FPGA SoC Devices

This work provides a vision on how to tackle the underutilization of compute resources in FPGA SoC devices used across 5$G$ and edge computing infrastructures. A first step towards this end is the implementation of a resource management layer able to migrate and scale functions in such devices, based on context events. This layer sets the basis to design a hierarchical data-driven micro-orchestrator in charge of providing the lifecycle management of functions in FPGA SoC devices. In the O-RAN context, the micro-orchestrator is foreseen to take the form of an xApp/rApp tandem trained with RAN traffic and context data.