In this article, we propose a novel formulation for the resource allocation problem of a sliced and disaggregated Radio Access Network (RAN) and its transport network. Our proposal assures an end-to-end delay bound for the Ultra-Reliable and Low-Latency Communication (URLLC) use case while jointly considering the number of admitted users, the transmission rate allocation per slice, the functional split of RAN nodes and the routing paths in the transport network. We use deterministic network calculus theory to calculate delay along the transport network connecting disaggregated RANs deploying network functions at the Radio Unit (RU), Distributed Unit (DU), and Central Unit (CU) nodes. The maximum end-to-end delay is a constraint in the optimization-based formulation that aims to maximize Mobile Network Operator (MNO) profit, considering a cash flow analysis to model revenue and operational costs using data from one of the world's leading MNOs. The optimization model leverages a Flexible Functional Split (FFS) approach to provide a new degree of freedom to the resource allocation strategy. Simulation results reveal that, due to its non-linear nature, there is no trivial solution to the proposed optimization problem formulation. Our proposal guarantees a maximum delay for URLLC services while satisfying minimal bandwidth requirements for enhanced Mobile BroadBand (eMBB) services and maximizing the MNO's profit.

翻译：本文提出了一种面向切片化解聚无线接入网络（RAN）及其传输网络资源分配问题的新型建模方案。该方案在联合考虑用户接入数量、每切片传输速率分配、RAN节点功能分割及传输网络路由路径的同时，为超可靠低时延通信（URLLC）场景提供端到端时延保障。我们采用确定性网络演算理论，计算连接部署在无线单元（RU）、分布式单元（DU）和集中单元（CU）节点网络功能的解聚RAN的传输网络时延。基于优化建模的框架将最大端到端时延作为约束条件，旨在通过现金流分析模型（采用全球领先移动网络运营商数据建模收入与运营成本）最大化移动网络运营商（MNO）利润。该优化模型采用灵活功能分割（FFS）策略，为资源分配方案提供新的自由度。仿真结果表明，由于问题的非线性特性，所提出的优化问题建模不存在平凡解。本方案在保障eMBB业务最小带宽需求并最大化运营商利润的同时，确保URLLC业务的最大时延保障。