Adaptive Reallocation of RAN Functions for Resilient 6G Networks
Gabriel M. Almeida, Jacek Kibiłda, Joao F. Santos, Kleber Vieira Cardoso
将基站分类为离散RAN函数,给移动网络带来了新的威胁,因为一个RAN函数的故障可能会触发级联故障并破坏整个功能链,影响网络性能并导致中断。 在本文中,我们提出了第一个弹性机制,利用RAN功能的自适应位置,以减轻基础设施受损时的破坏和恢复服务连续性。 我们的模型检测因层叠故障而中断的 RU,通过在替代云位置重新固接 CU 和 DU 来做出反应,并通过重建功能链恢复服务连续性。 我们将这种恢复过程作为一个优化问题,在考虑基础设施的计算和通信限制的同时,最大限度地提高故障后网络性能。 我们在多个故障情景下对现实世界移动网络拓扑结构的方法进行了数值评估,并证明与传统的弹性机制相比,我们的解决方案可恢复高达70%的吞吐量。
The disaggregation of base stations into discrete RAN functions introduces new threats to mobile networks, as failures in one RAN function can trigger cascading failures and disrupt the entire functional chain, impacting network performance and leading to outages. In this paper, we propose the first resilience mechanism leveraging the adaptive placement of RAN functions to mitigate disruptions and recover service continuity in the presence of compromised infrastructure. Our model detects disrupt...