论文标题
在具有多连通性的5G系统中为AR/VR流量提供高容量
Providing High Capacity for AR/VR traffic in 5G Systems with Multi-Connectivity
论文作者
论文摘要
增强和虚拟现实（AR/VR）通常被称为5G系统的“杀手”应用，因为它施加了与吞吐量，延迟和可靠性有关的非常严格的服务质量（QoS）要求。高分辨率AR/VR流动需要数十个MHz的带宽。由于现有的低频频段（即6 GHz以下）的带宽有限且人口过多，因此满足高AR/VR需求的方法之一是使用毫米波（MMWave）带中可用的频率通道。但是，MMWave频段的传输遭受了较高的吞吐量波动甚至阻塞，这会导致违反严格的AR/VR延迟和可靠性要求。为了解决此问题，5G规格引入了多连通性（MC）功能，该功能允许移动用户同时连接到多个基站。本文考虑了一个具有两个基站的方案：第一个基站在低频频段中运行以提供可靠的数据传输，而第二个基站则在MMWave频段中运行，并在频道条件良好时提供高数据速率。一个开放的问题源于规格范围，是如何在两个链接之间平衡与不同特征之间的AR/VR流量。本文提出了一种基于延迟的流量平衡（DBTB）算法，该算法可最大程度地减少低频链接的资源消耗，同时满足严格的AR/VR QoS要求。通过广泛的模拟，与最先进的流量平衡算法相比，DBTB被证明可以使AR/VR流量的网络容量增加一倍。
Augmented and Virtual Reality (AR/VR) is often called a "killer" application of 5G systems because it imposes very strict Quality of Service (QoS) requirements related to throughput, latency, and reliability. A high-resolution AR/VR flow requires a bandwidth of dozens of MHz. Since the existing low-frequency bands (i.e., below 6 GHz) have limited bandwidth and are overpopulated, one of the ways to satisfy high AR/VR demands is to use wide frequency channels available in the millimeter-Wave (mmWave) band. However, transmission in the mmWave band suffers from high throughput fluctuation and even blockage, which leads to violation of strict AR/VR latency and reliability requirements. To address this problem, 5G specifications introduce a Multi-Connectivity (MC) feature that allows a mobile user to connect simultaneously to several base stations. The paper considers a scenario with two base stations: the first base station operates in the low-frequency band to provide reliable data delivery, while the second one operates in the mmWave band and offers high data rates when the channel conditions are favorable. An open question that falls out of the scope of specifications is how to balance AR/VR traffic between two links with different characteristics. The paper proposes a Delay-Based Traffic Balancing (DBTB) algorithm that minimizes resource consumption of the low-frequency link while satisfying strict AR/VR QoS requirements. With extensive simulations, DBTB is shown to double the network capacity for AR/VR traffic compared with the state-of-the-art traffic balancing algorithms.
