5G异构网络中的D2D组播

Rafael Kaliski
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引用次数: 2

摘要

5G无线网络的目标是支持各种需求,包括低延迟、高连接和高比特率。5G服务质量(QoS)流支持多种部署场景。在5G中,来自蜂窝网络外部的入站服务可以分成多个QoS流并调度到多个数据承载;每个5G数据承载都满足特定的QoS要求。这些需求包括扩展的网络,由UE-to-Network relay实现。典型的例子是由设备到设备(D2D)用户设备(ue)和物联网(IoT)设备组成的网络。传统的延迟驱动分配方法通常根据QoS要求为每个多播流分配固定的延迟/子载波间隔(SCS)。传统方法的缺点是它们没有考虑到多路径/延迟传播的影响,因此它们无法在高延迟传播的无线电环境中有效地利用分配的无线电频谱;低延迟流对高延迟扩展更敏感。在这项研究工作中,我们在受ue和ue到网络中继约束的情况下,为扩展网络导出了5G数据承载映射的最佳QoS。与传统的多播方法相比,我们的方法可以实现同等或更高的吞吐量,同时最大限度地减少与原始延迟要求的偏差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
D2D Groupcast in 5G Heterogeneous Networks
The goal of 5G wireless networks is to support a diverse set of requirements spanning low-latency, high connectivity, and high bit-rates. Support for the multitude of deployment scenarios is enabled by 5G Quality of Service (QoS) flows. In 5G, an inbound service from outside the cellular network can be separated into multiple QoS flows and scheduled onto multiple data bearers; each 5G data bearer meets specific QoS requirements. These requirements include extended networks, as enabled by UE-to-Network Relays. Typical examples are the networks formed by Device to Device (D2D) User Equipment (UEs) and Internet of Things (IoT) devices. Traditional latency-driven assignment methodologies typically assign a fixed Latency / Sub-Carrier Spacing (SCS) to each multicast flow, as directed by the QoS requirements. A drawback to traditional approaches is they do not account for the impact of multi-path / delay spread, as such they are unable to efficiently utilize the allocated radio spectrum in high delay spread radio environments; low latency flows are more sensitive to high delay spread. In this research work we derive an optimal QoS to 5G data bearer mapping for an extended network, subject to the constraints imposed by UEs and the UE-to-Network Relay. Compared to legacy multicast methodologies, our methodology can achieve an equivalent or higher throughput while minimizing deviation from the original latency requirements.
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