{"ID":2890187,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.19963","arxiv_id":"2507.19963","title":"A Scalable Resource Management Layer for FPGA SoCs in 6G Radio Units","abstract":"This work presents a perspective on addressing the underutilization of computing resources in FPGA SoC devices deployed in 5G radio and edge computing infrastructure. The initial step in this approach involves developing a resource management layer capable of dynamically migrating and scaling functions within these devices in response to contextual events. This layer serves as the foundation for designing a hierarchical, data-driven micro-orchestrator responsible for managing the lifecycle of functions in FPGA SoC devices. In this paper, the proposed resource management layer is utilized to reconfigure a function based on events identified by a computer vision edge application.","short_abstract":"This work presents a perspective on addressing the underutilization of computing resources in FPGA SoC devices deployed in 5G radio and edge computing infrastructure. The initial step in this approach involves developing a resource management layer capable of dynamically migrating and scaling functions within these dev...","url_abs":"https://arxiv.org/abs/2507.19963","url_pdf":"https://arxiv.org/pdf/2507.19963v1","authors":"[\"Nikolaos Bartzoudis\",\"José Rubio Fernández\",\"David López-Bueno\",\"Antonio Román Villarroel\"]","published":"2025-07-26T14:24:39Z","proceeding":"cs.NI","tasks":"[\"cs.NI\",\"cs.AR\"]","methods":"[]","has_code":false}