Poster: IsoRAN: Isolation and Scaling for 5G RAN via User-Level Data Plane Virtualization
Nishant Budhdev, Mun Choon Chan, Tulika Mitra · arXiv (Cornell University) · 2020
5G presents a unique set of challenges for cellular network architecture. The architecture needs to be versatile in order to handle a variety of use cases. In this paper we propose IsoRAN, a design for 5G Cloud RAN(CRAN) which provides isolation and scaling along with the flexibility needed for 5G architecture through fine-grained slicing. Our design allows users with diverse service requirements to be executed on the most efficient hardware, to ensure that the Service Level Agreements(SLA) are met while minimizing power consumption. Our experiments show that IsoRAN handles users with different SLA while providing isolation to reduce interference. This increased isolation reduces the drop rate for different users from 42% to nearly 0% in some cases while requiring only half the amount of resources.