Experimental Results for the AERO 5G project (Fed4FIRE+)

The corresponding results refer to the experiments conducted during the life of the Fed4FIRE+ project entitled: "AERO 5G (Augmented Reality Tour Guide Architecture for 5G)". The public availability of the results aim to help future experimenters and researchers to obtain some intuition with regard to the benefits of 5G for content-based, bandwitdh consuming, MAR applications. ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Short Description of the Experiments: All values have been rounded to two decimal places. Our team has conducted ten experimental runs for each of the following experimental scenarios. o 4G SDR srsLTE-to-AWS: A 4G SDR srsLTE network deployed over the Fed4FIRE+ Iris testbed, between a Xiaomi Mi Mix 2S handset and an Amazon EC2 node at Amazon Cloud (AWS) that hosts the AR video content. o 4G SDR srsLTE-to-IMEC: A 4G SDR srsLTE network deployed over the Fed4FIRE+ Iris testbed, between a Xiaomi Mi Mix 2S handset and a bare metal machine at Fed4FIRE+ IMEC's VirtualWall that hosts the AR video content. o 4G SDR srsLTE-to-Iris-MEC: A 4G SDR srsLTE network deployed over the Fed4FIRE+ Iris testbed, between a Xiaomi Mi Mix 2S handset and a MEC storage node located at the edge of the network infrastructure at the Iris testbed that hosts the AR video content. Although MEC is considered to be a 5G technology, our aim in this scenario is to explore the benefit of deploying edge storage nodes in wireless mobile telecommunication technologies in general. For this purpose, we assume that the video content has been stored at the MEC storage node a priori to the end-user's requests. o Commercial Three.ie 4G-to-AWS: A Commercial 4G network deployed by the Three.ie mobile operator in Ireland, between a Xiaomi Mi Mix 2S handset and an Amazon EC2 node that hosts the AR video content. Even though a MEC storage node could not be deployed in this scenario, our intention is to estimate the benefit of deploying edge storage nodes empirically by consulting the results concluded for the 4G LTE-to-MEC scenario. o 2.4GHz Wi-Fi-to-IMEC: A 2.4GHz Wi-Fi (802.11 n) network deployed over the Fed4FIRE+ Iris testbed, between a Xiaomi Mi Mix 2S handset and a bare metal machine at Fed4FIRE+ IMEC's VirtualWall that hosts 4K AR video. This scenario serves us as a proof-of-concept that a 2.4GHz Wi-Fi network is not capable of supporting the delivery of high quality 4K AR content in areas where there are a lot of 2.4GHz Wi-Fi networks. o 5GHz Wi-Fi-to-AWS: A 5GHz Wi-Fi (802.11 ac) network deployed over the Fed4FIRE+ Iris testbed, between a Xiaomi Mi Mix 2S handset and an Amazon EC2 node at Amazon Cloud (AWS) that hosts the AR video content. o 5GHz Wi-Fi-to-IMEC: A 5GHz Wi-Fi (802.11 ac) network deployed over the Fed4FIRE+ Iris testbed, between a Xiaomi Mi Mix 2S handset and a bare metal machine at Fed4FIRE+ IMEC's VirtualWall that hosts the AR video content. o 5GHz Wi-Fi-to-Iris-MEC: A 5GHz Wi-Fi (802.11 ac) network deployed over the Fed4FIRE+ Iris testbed, between a Xiaomi Mi Mix 2S handset and a MEC storage node located at the edge of the network infrastructure that hosts the AR video content. Similar to the 4G LTE-to-MEC scenario, we assume that the video content has been stored at the MEC storage node a priori to the end-user's requests.

本数据集对应的实验结果源自名为"AERO 5G（面向5G的增强现实导览架构，Augmented Reality Tour Guide Architecture for 5G）"的Fed4FIRE+项目全周期内开展的实验。本数据集公开的实验结果旨在帮助后续实验人员与研究人员直观理解5G在基于内容、高带宽消耗的移动增强现实（Mobile Augmented Reality, MAR）应用中的优势。
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实验简要说明：所有数值均已保留两位小数。本团队针对下述各实验场景均开展了十次实验运行。
○ 4G软件定义无线电（Software Defined Radio, SDR）srsLTE至AWS：基于Fed4FIRE+ Iris实验床部署的4G SDR srsLTE网络，连接小米Mix 2S手机与亚马逊云（Amazon Cloud, AWS）托管增强现实（Augmented Reality, AR）视频内容的Amazon EC2节点。
○ 4G SDR srsLTE至IMEC：基于Fed4FIRE+ Iris实验床部署的4G SDR srsLTE网络，连接小米Mix 2S手机与Fed4FIRE+ IMEC虚拟墙（VirtualWall）中托管AR视频内容的裸机服务器。
○ 4G SDR srsLTE至Iris-MEC：基于Fed4FIRE+ Iris实验床部署的4G SDR srsLTE网络，连接小米Mix 2S手机与Iris实验床网络基础设施边缘、托管AR视频内容的多接入边缘计算（Multi-Access Edge Computing, MEC）存储节点。尽管MEC被视作5G技术范畴，本场景的研究目标是一般性地探究无线移动通信技术中部署边缘存储节点的优势。为此，我们假设在终端用户发起请求前，视频内容已预先存储于该MEC存储节点中。
○ 商用Three.ie 4G至AWS：由爱尔兰Three.ie移动运营商部署的商用4G网络，连接小米Mix 2S手机与托管AR视频内容的Amazon EC2节点。尽管本场景无法部署MEC存储节点，我们仍希望通过参考4G LTE至MEC场景的实验结果，实证估算部署边缘存储节点的收益。
○ 2.4GHz Wi-Fi至IMEC：基于Fed4FIRE+ Iris实验床部署的2.4GHz Wi-Fi（802.11n）网络，连接小米Mix 2S手机与Fed4FIRE+ IMEC虚拟墙中托管4K AR视频内容的裸机服务器。本场景作为概念验证，证明在2.4GHz Wi-Fi网络密集区域，2.4GHz Wi-Fi网络无法支撑高质量4K AR内容的传输。
○ 5GHz Wi-Fi至AWS：基于Fed4FIRE+ Iris实验床部署的5GHz Wi-Fi（802.11ac）网络，连接小米Mix 2S手机与亚马逊云（AWS）托管AR视频内容的Amazon EC2节点。
○ 5GHz Wi-Fi至IMEC：基于Fed4FIRE+ Iris实验床部署的5GHz Wi-Fi（802.11ac）网络，连接小米Mix 2S手机与Fed4FIRE+ IMEC虚拟墙中托管AR视频内容的裸机服务器。
○ 5GHz Wi-Fi至Iris-MEC：基于Fed4FIRE+ Iris实验床部署的5GHz Wi-Fi（802.11ac）网络，连接小米Mix 2S手机与网络基础设施边缘、托管AR视频内容的MEC存储节点。与4G LTE至MEC场景类似，我们假设在终端用户发起请求前，视频内容已预先存储于该MEC存储节点中。