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arXiv 2402.11285cs.NIcs.AIcs.LG
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虚拟化 O-RAN 平台中的公平资源分配

Fair Resource Allocation in Virtualized O-RAN Platforms

TU Delft(代尔夫特理工大学);NEC Labs Europe(欧洲 NEC 实验室);i2CAT;ICREA(加泰罗尼亚研究与高级研究所)

Fatih Aslan, George Iosifidis, Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Perez

AI总结:

本文针对虚拟化 O-RAN 平台的高能耗问题,提出结合计算与无线策略及新型在线学习框架,在保障长期公平性的同时实现节能与性能的平衡,并在真实场景中验证了其有效性。

摘要:

O-RAN 系统及其在虚拟化通用计算平台(O-Cloud)中的部署构成了一次范式转变,有望带来前所未有的性能提升。然而,这些架构引发了新的实现挑战,并可能恶化移动网络本已很高的能耗。本文首先进行了一系列实验,评估 O-Cloud 的能耗成本及其对服务器硬件、容量和数据流量属性(通常会随时间变化)的依赖关系。接着,提出了一种计算策略,以节能的方式将基站数据负载分配给 O-Cloud 服务器;并提出一种无线策略,在近实时状态下确定每个用户的最小传输块大小,以避免不必要的能耗。这些策略在节能与性能之间取得平衡,并确保两者分别在服务器和用户之间得到公平分配。为了应对影响策略的未知和时变参数,我们开发了一种具有公平性保证的新型在线学习框架,该保证适用于系统的整个运行周期(长期公平性)。这些策略通过基于轨迹的仿真进行评估,并在兼容 O-RAN 的系统中得到完全实现,我们在其中测量了真实场景下的能耗成本和吞吐量。

英文摘要:

O-RAN systems and their deployment in virtualized general-purpose computing platforms (O-Cloud) constitute a paradigm shift expected to bring unprecedented performance gains. However, these architectures raise new implementation challenges and threaten to worsen the already-high energy consumption of mobile networks. This paper presents first a series of experiments which assess the O-Cloud's energy costs and their dependency on the servers' hardware, capacity and data traffic properties which, typically, change over time. Next, it proposes a compute policy for assigning the base station data loads to O-Cloud servers in an energy-efficient fashion; and a radio policy that determines at near-real-time the minimum transmission block size for each user so as to avoid unnecessary energy costs. The policies balance energy savings with performance, and ensure that both of them are dispersed fairly across the servers and users, respectively. To cater for the unknown and time-varying parameters affecting the policies, we develop a novel online learning framework with fairness guarantees that apply to the entire operation horizon of the system (long-term fairness). The policies are evaluated using trace-driven simulations and are fully implemented in an O-RAN compatible system where we measure the energy costs and throughput in realistic scenarios.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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