Optimization of an integrated fronthaul/backhaul network under path and delay constraints
Optimization of an integrated fronthaul/backhaul network under path and delay constraints
复制标题
路径和延迟约束下集成前传/回传网络的优化
DOI：
10.1016/j.adhoc.2018.08.025
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发表时间：
2019
期刊：
影响因子：
4.8
通讯作者：
A. Azcorra
中科院分区：
文献类型：
--
作者：
Nuria Molner;A. D. Oliva;I. Stavrakakis;A. Azcorra
云或集中式无线电接入网络（C-RAN）预计将在5G下广泛部署，以支持预期增加的流量需求并降低成本。在C-RAN下，无线电元件（例如，eNB或5G中的gNB）被分成基本无线电部分（分布式单元，DU）和可池化基带处理部分（中央单元，CU）。这种功能划分导致DU和CU之间的高带宽和延迟受限的业务流（称为前传），要求部署专用网络来容纳它们或将它们与现有基础设施上的其余流（称为回程）集成。这项工作研究了下一代传输网络，其目的是在同一个传输层上集成前传和回程流量。提出了一种路由和资源配置的优化框架，该框架综合考虑了时延、容量和路径约束，在最大化DU部署程度的同时最小化支持CU。该框架和开发的算法（以降低计算复杂度）进行了验证，并适用于小型和大型（生产级）网络。它们可以对网络运营商用于网络规划以及动态调整其（虚拟化）基础设施的网络操作两者有用。
Cloud or Centralized Radio Access Networks (C-RANs) are expected to be widely deployed under 5G in order to support the anticipated increased traffic demands and reduce costs. Under C-RAN, the radio elements (e.g., eNB or gNB in 5G) are split into a basic radio part (Distributed Unit, DU), and a pool-able base band processing part (Central Unit, CU). This functional split results in high bandwidth and delay constrained traffic flows between DUs and CUs (referred to as fronthaul), calling for the deployment of a specialized network to accommodate them or for integrating them with the rest of the flows (referred to as backhaul) over the existing infrastructure. This work studies the next generation of transport networks, which aims at integrating fronthaul and backhaul traffic over the same transport stratum. An optimization framework for routing and resource placement is developed, taking into account delay, capacity and path constraints, maximizing the degree of DU deployment while minimizing the supporting CUs. The framework and the developed heuristics (to reduce the computational complexity) are validated and applied to both small and large- scale (production-level) networks. They can be useful to network operators for both network planning as well as network operation adjusting their (virtualized) infrastructure dynamically.