针对虚拟化小蜂窝云- ran架构中前传上行流量的XG-PON DBA机制进行了优化

Ahmed Mohammed Mikaeil, Weisheng Hu
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引用次数: 5

摘要

时分多路无源光网络(tdm - pon)技术被认为是云无线接入网(C-RAN)架构中小型蜂窝密集部署的灵活且经济高效的移动前端传输解决方案。由于TDM-PON采用动态带宽分配(dynamic bandwidth allocation, DBA)机制来共享上游带宽,导致上游传输延迟较大,因此TDM-PON要满足C-RAN移动前传的严格延迟要求是一个挑战。文献中已经提出了几种DBA机制来解决基于移动前传的IEEE以太网无源光网络(即10G-EPON)的这个问题。然而,诸如XG-PON之类的ITU TDM-PON甚至尚未在移动前端传输的背景下进行探索。在本文中,我们提出了一种优化的符合XG-PON的DBA机制,称为优化轮询(optimized - rr),以支持虚拟化小单元C-RAN架构中XG-PON的前传流量传输。我们通过将其与最近提出的另外两种符合XG-PON的dba,即群保巨人(g GIANT)和简单轮询(RR-DBA) dba进行比较,从动态数据速率移动前端传输流量的延迟、抖动和包丢失方面评估了它的性能。性能评估结果表明,与gGIANT和RR-DBA相比,它不仅在上游延迟和利用率方面有显著改善,而且在聚合小蜂窝前传流量方面丢包和抖动也更低。
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Optimized XG-PON DBA mechanism for front-haul upstream traffic in virtualized small cell cloud-RAN architecture
Time division multiplexing passive optical networks (TDM-PONs) technologies are viewed as an attractive solution for flexible and cost-effective mobile front-haul for dense deployment of small cells in cloud radio access network (C-RAN) architecture. Due to the high latency of upstream transmission in TDM-PON because of using a dynamic bandwidth allocation (DBA) mechanism to share the upstream bandwidth, it is a challenge for TDM-PON to meet the strict latency requirement of C-RAN mobile front-haul. Several DBA mechanisms have been proposed in the literature to address this issue for IEEE Ethernet passive optical network (i.e. 10G-EPON) based mobile front-haul. However, ITU TDM-PON such as XG-PON have not yet even been explored in the context of mobile front-haul. In this paper, we present an optimized XG-PON-compliant DBA mechanism called Optimized-Round Robin (Optimized-RR) to support front-haul traffic transport over XG-PON in virtualized small-cell C-RAN architecture. We evaluate its performance in terms of delay, jitter and packet loss over a dynamic data rate mobile front-haul traffic by comparing it with two other recently proposed XG-PON- compliant DBAs namely, Group Assured GIANT (g GIANT) and simple Round-Robin (RR-DBA) DBAs. The performance evaluation results not only show its significant improvement in terms of upstream delay and utilization, but also show a lower packet loss and jitter for aggregated small cells front-haul traffic when comparing it to gGIANT and RR-DBA.
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