Low Layer Functional Split Management in 5G and Beyond: Architecture and Self-adaptation

TL;DR

This paper proposes an architectural framework for dynamic functional split management in 5G RAN, optimizing split decisions based on load conditions to enhance flexibility and energy efficiency.

Contribution

It introduces a novel architectural framework for split management in disaggregated RAN and analyzes optimization strategies for adaptive split selection.

Findings

Framework supports dynamic split adaptation

Optimization reduces energy costs under varying loads

Enhances flexibility in 5G RAN deployment

Abstract

Radio Access Network (RAN) disaggregation is emerging as a key trend in beyond 5G, as it offers new opportunities for more flexible deployments and intelligent network management. A relevant problem in disaggregated RAN is the functional split selection, which dynamically decides which baseband (BB) functions of a base station are kept close to the radio units and which ones are centralized. In this context, this paper firstly presents an architectural framework for supporting this concept relying on the O-RAN architecture. Then, the paper analyzes how the functional split can be optimized to adapt to the different load conditions while minimizing energy costs.