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Uplink Latency in Massive MIMO-based C-RAN with Intra-PHY Functional Split
IEEE Communications Letters ( IF 4.1 ) Pub Date : 2020-04-01 , DOI: 10.1109/lcomm.2020.2966612
Jobin Francis , Jay Kant Chaudhary , Andre Noll Barreto , Gerhard Fettweis

Functional splitting and packetized fronthaul (FH) are two approaches to realize cloud radio access networks in a cost-effective manner. In the former, some baseband functionalities are offloaded to remote radio units (RRUs) instead of centralizing all of them at a baseband unit pool. This reduces the capacity and latency requirements on FH when massive multiple-input-massive-output RRUs are used. The latter approach aims to use the ubiquitous Ethernet networks for FH. However, this leads to random packet delays due to queuing at switching/aggregating gateways. In this letter, we present a novel analytical framework to characterize the distribution of queuing delays at an aggregation gateway in the uplink. This framework incorporates random user activity, the uplink spectral efficiencies of users, the slotted nature of uplink transmissions, and FH capacity. We study the impact of packet arrival rates, average packet sizes, and FH capacity on queue length and queuing delay distributions. We show that significant statistical multiplexing gains are possible by aggregating traffic from multiple RRUs.

中文翻译:

具有 Intra-PHY 功能拆分的基于大规模 MIMO 的 C-RAN 中的上行链路延迟

功能拆分和分组化前传 (FH) 是两种以经济高效的方式实现云无线接入网络的方法。在前者中,一些基带功能被卸载到远程无线电单元 (RRU),而不是将它们全部集中在基带单元池中。当使用大量多输入大量输出 RRU 时,这降低了对 FH 的容量和延迟要求。后一种方法旨在将无处不在的以太网用于 FH。然而,由于在交换/聚合网关排队,这会导致随机数据包延迟。在这封信中,我们提出了一种新颖的分析框架来表征上行链路中聚合网关排队延迟的分布。该框架结合了随机用户活动、用户的上行链路频谱效率、上行链路传输的时隙特性、和 FH 容量。我们研究了数据包到达率、平均数据包大小和 FH 容量对队列长度和排队延迟分布的影响。我们表明,通过聚合来自多个 RRU 的流量,可以获得显着的统计复用收益。
更新日期:2020-04-01
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