IEEE Global Communications Conference
8–10 December 2020 // In-person (Taipei, Taiwan)
7-11 December 2020 // Virtual
Communications for Human and Machine Intelligence

Industry Demos

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All times in local Taipei time.


WEDNESDAY, 9 DECEMBER 2020

11:00-12:30
Industry Demo 1 (Live): 5G iRAN for Factories of the Future

16:00-17:30
Industry Demo 2 (Live): free5GC

16:00-17:30
Industry Demo 3 (Live): Open and Intelligent RAN for Vertical

16:00-17:30
Industry Demo 6 (Live): Towards 5G Cloud-Native: Automation and Flexible Network Aggregation

THURSDAY, 10 DECEMBER 2020

11:00-12:30
Industry Demo 4 (Live): VR and MR Applications in 5G Enterprise Private Network

14:00-15:30
Industry Demo 5 (Live): 5G Enhanced Mobile Broadband Access Networks in Crowded Environments

16:00-17:30
Industry Demo 7 (Live): IS-Wireless RAN Controller for Managing the SD-RAN Networks


Industry Demo 1 (Live): 5G iRAN for Factories of the Future

Date/Time: 9 December 2020, Wednesday: 11:00-12:30
Room: 201F

Authors: 

  1. Yountai Lee, Smart System Institute, Institute for Information Industry, Taiwan
  2. Mingzoo Wu, Smart System Institute, Institute for Information Industry, Taiwan
  3. TeJen Wang, Smart System Institute, Institute for Information Industry, Taiwan
  4. Yingfang Lee, Smart System Institute, Institute for Information Industry, Taiwan

Abstract:

  • 5G iRAN tries to build an intelligent RAN solution for 5GS and various QoS demands, such as low latency, high reliability, survival time. This will integrate 5G wireless communications with the function module in factory. 5G iRAN will be developed according to 3GPP IIoT/NPN and O-RAN RIC based on III 5G gNB/5GC solution. At least three scenario demonstrations of future factory would be developed and verified in this project. The goal is to provide the 5GS E2E solution, QoS-aware wireless private network for the smart factories in 5G era.
  • In the modern factories, all types of machines, tools, and sub-systems have to be connected to each other for data exchange or sharing. Thus the communication middleware is quite critical to the IIoT functions and applications. ROS2 is based on the DDS decentralized/non-synchronous data exchange mechanism with high QoS control capability. With this feature, it is very suitable for building the communication and intelligent control between robot arm, AGV and AR glasses in the factory. It can also expand to the application as a transmission standard for factory networks. It is conducive make the future factory more easily to deploy but the intelligent control for ICT systems.
  • Project Goal and Division of R&D Team
    • QoS-aware ROS2 information exchange platform
    • 5GS private network for wireless IIOT
    • ROS2/DDS applications integration and verification over the 5GS private network

Program:
Chair: Yountai Lee (On-site)

Time Speaker / Presenter Presentation Topic Format
11:00-11:05 Yountai Lee Opening Live: on-site
11:05-11:15 TeJen Wang 5G for Factories of the Future Live: on-site + pre-recorded video
11:15-11:40 Mingzoo Wu III 5G iRAN System Live: on-site + pre-recorded video
11:40-11:55 TeJen Wang III Workforce via Smart Glasses Live: on-site + pre-recorded video
11:55-12:10 TeJen Wang AMR for 5G Smart Manufacturing Live: on-site + pre-recorded video
12:10-12:30 Yountai Lee Q & A Live: on-site

 

Industry Demo 2 (Live): free5GC

Date/Time: 9 December 2020, Wednesday: 16:00-17:30
Room: 201F

Authors:
Jyh-Cheng Chen, Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan
Yao-Wen Chang, Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan
Liang-Yu Chen, Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan
Jyun-Yu Syu, Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan
Wei-Chun Yang, graduate students, Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan

Abstract: The free5GC is an open-source project for 5th generation (5G) mobile core network led by researchers from National Chiao Tung University. The free5GC is the first open-source core network in the world based on the 3GPP Release 15 (R15) specifications. The ultimate goal of free5GC is to implement a full commercially operational core network including Operation, Administration and Management (OAM), orchestrator, and network slicing complied with 3GPP R15 and beyond. In the past, the cellular core network was very expensive and not easy to access the source code. For people doing research in cellular core networks, they usually could only conduct mathematical analysis and simulation to verify their ideas. With free5GC, researchers not only can get the source code for free, but also can realize their own ideas in a real 5G core network environment. The free5GC can facilitate innovations in prototype and testbed development.

Program:
Chair: Liang-Yu Chen, Jyun-Yu Syu, Chia-An Lee (On-site)

Time Speaker / Presenter Presentation Topic
16:05-16:20 Liang-Yu Chen 5G introduction
16:20-16:40 Jyun-Yu Syu free5GC introduction
16:40-16:55 Chia-An Lee free5GC Demo

 

 

Industry Demo 3 (Live): Open and Intelligent RAN for Vertical

Date/Time: 9 December 2020, Wednesday: 16:00-17:30
Room: North Lounge

Authors: 

  1. Kai-Chieh Tang, Researcher, Chunghwa Telecom Laboratories, Taiwan,
  2. Tzu-Yi Chan, Software Engineer, Institute for Information Industry, Taiwan
  3. Howard Cheng, Staff Applications Engineer, National Instruments, Taiwan,
  4. Matisse Hsu, Director of System Integration R&D Division, Gemtek Technology Corporation, Taiwan
  5. Po Chun LAI, DevRel-AI Alliance Manager, NVIDIA, USA
  6. Jeffrey Chen, General Manager of Greater China wireless application engineering, Keysight Technologies, Taiwan

Abstract: 5G network is expected to cater the varied requirements and business needs of verticals. The key challenge for more complex and flexible 5G network results from the scale and flexibility of deployment, optimization, management, and orchestration of the network. O-RAN Alliance is a world-wide community of over 200 members and aims to transform the RAN towards to open, intelligent, virtualized, and fully interoperable. A flexible and customer-oriented network for verticals can be achieved by the merits of openness, intelligence, and virtualization. Moreover, network with intelligence especially tackles the difficulties of manual management and complicated network parameter optimization to better user experience. Considering the diversified QoE demand can’t be satisfied by current QoS framework, an intelligent UE-centric service network is showcased to improve the user experience which takes into account radio conditions, priority of users, and video requirements. Main features include

  • RAN Intelligent Controller prototype which enables network planning as well as dynamic network optimization to improve network coverage and capacity for moving UE

Program:
Chair: Dr. Kai-Chieh Tang (On-site)

Time Speaker / Presenter Presentation Topic
16:00-16:02 Kai-Chieh-Tang Greeting & Introduction
16:02-16:10 Kai-Chieh-Tang GLOBECOM Industry Demo
16:10-16:15 Kai-Chieh-Tang Introduction to ORAN
16:15-16:20 Yu-An Chen AI/ML based xApp
16:20-16:25 Sz-Hsien Wu Controllable Beam Selection Antenna Module
16:25-16:27 Kai-Chieh-Tang High Quality Video Streaming and Quality Assessment
16:27-16:30 Kai-Chieh-Tang Facial Recognition and Number of People Recognition
16:35-16:45 James Ting Gemtek Products
16:45-16:55 Jeffrey Chen Keysight ORAN Solutions
16:55-17:05 Roy Chou NVIDIA Product
17:05-17:15 Kai-Chieh-Tang (Speech)
Jing-Yun-Fang (Operation)
How the Network Quality Influences IIR’s Quality
17:15-17:25 Kai-Chieh-Tang (Speech)
Jing-Yun-Fang (Operation)
Non-RT RIC and Near-RT RIC xApp
17:25-17:27 Kai-Chieh-Tang How a UE Emulator Assists Tuning IIR’s Parameter

 

Industry Demo 4 (Live): VR and MR Applications in 5G Enterprise Private Network

Date/Time: 10 December 2020, Thursday: 11:00-12:30
Room: 201F

Author: 
Aaron Chuang, Compal Electronics, Inc. Taiwan
Industrial Technology Research Institute, Taiwan
Institute for Information Industry, Taiwan
Trend Micro Incorporated, Taiwan

Abstract:

  1. 5G has been associated with the promise of new digital applications and services which require the high bandwidth and low latency user scenarios framed by IMT-2020 standard.
  2. The high bandwidth and low latency properties of 5G offer promise for MR (Mixed Reality) and VR (Virtual Reality) applications, in particular in the vertical fields, such as manufacturing, entertainment, education, and telemedicine.
  3. 5G Enterprise Private Network operating in dedicated spectrum and in the environment with high connection density and security ushers the promises of industrial revolution in which MR technology enables the remote engineering collaboration in a reliable way; interactive streaming in which VR technology brings immersive user experience with 5G mobility feature.
  4. In this demonstration, Compal and its partners showcase the end-to-end integrated 5G Enterprise Private Network with Compal’s user equipment (UE), and radio access network (RAN) equipment, and the essential 5G network infrastructure elements, such as 5G Package Core (5GC), Multi-access Edge Computing (MEC), and Mobile Network Security (MNS) solutions under the open network environment. In addition, on top of the 5G Enterprise Network, the use cases of VR and MR with Compal’s head-mounted display (HMD) devices would be demonstrated for a variety of verticals.

 

Industry Demo 5 (Live): 5G Enhanced Mobile Broadband Access Networks in Crowded Environments

Date/Time: 10 December 2020, Thursday: 14:00-15:30
Room: 201F

Authors:
Haesik Kim, VTT Technical Research Centre of Finland, Finland
Kenta Umebayashi, Tokyo University of Agriculture and Technology, Japan

Abstract: Macrocells covering large geographical areas will be difficult to deliver the dense coverage and high bandwidth. 5G-Enhance contribution: In order to deliver the dense coverage and high capacity, we develop a new technology, validate the large trials, and perform a large scale trials in EU and Japan.

A key objective for the 5G-Enhance Project is to define and evaluate interoperable 5G eMBB and efficient network solutions in dense area. In this demonstration, we present our interim results including technical requirements, publications, interim test results, and on-site/remote demonstration.

5G-Enhance will execute two large scale trials with eMBB in crowded environments (dense area) to show the feasibility of the applications based on 5G network. The focus is on two specific applications in the context of enabling healthy lifestyle: The first application is 3D remote class for a real-time surgery that will be implemented in the Demo-1 (Trial 1). The second application is ad-hoc outdoor sport event to be implemented in the Demo-2 (Trial 2). The two demonstrations have different requirements. Demo-1, requires very high data rate, and supporting many users with low mobility and Demo-2 requires high data rate and supporting a massive number of users with high mobility.

Program:
Chair: Haesik Kim and Kenta Umebayashi (Virtual)

Time Speaker / Presenter Presentation Topic
14:00-14:15 Haesik Kim and Kenta Umebayashi Opening, Overall project and trials explanation
14:15-14:30 A presenter at Oulu University Oulu Trial: 5G Remote Surgery using eMBB solutions
14:30-14:45 A presenter at Fraunhofer FOCUS Berlin Trial: 5G mobile base station and MP-TCP trial
14:45-15:00 A presenter at NICT/UEC/TUAT Japan trial : Smart spectrum and micro operator trial
15:00-15:25 All presenters Q&A. If time is allowed, Videos will be played repeatedly until closing
15:25-15:30 Haesik Kim and Kenta Umebayashi Closing

 

Industry Demo 6 (Live): Towards 5G Cloud-Native: Automation and Flexible Network Aggregation

Date/Time: 9 December 2020, Wednesday: 16:00-17:30
Room: R103

Authors:

  1. Osama Arouk, Communications Systems Department, Eurecom, France
  2. Navid Nikaein, Communications Systems Department, Eurecom, France

Abstract:
Auto-scaling, frequent deployment of services with a quick failure recovery (e.g., service availability > 99.999 %) are essential features to support 5G and beyond networks in cloud environments. Such service resiliency, flexibility and network automation in 5G networks as required for network slicing and orchestration, as well as services' evolution (e.g., service update/upgrade, scaling etc.), can be achieved via softwarization, virtualization, and cloud computing technologies. Aiming at delivering the applications as-as-service, cloud-native is a methodology of developing, building, and managing the applications that fully exploit the cloud computing model. Agility, self-healing and auto-pilot (e.g., auto-configuration), among others, are considered as the core features envisioned for 5G in cloud native environment.

There are three main design patterns for cloud-native approach. Firstly, the cloud-native applications are composed of microservices, where they can be composed of many services meshed together and operating independently of each other. Secondly, the cloud-native applications are packaged in one or multiple isolated containers, while managed by means of a set of standard APIs. Finally, they run in a continuous integration and delivery (CI/CD), where an application goes through fast cycles of development, build, test, release, and deployment.

Considered as one of the main features attracting the adoption 5G and beyond in cloud native environment, microservices and containers have small footprint and fast start times. There are many technologies for containerization, such as Linux Containers (LXC), containerd, CRI-O, docker, with a relatively similar performance. In order to cloudify the network, flexible functional split was introduced by 3GPP [TR 38.801] to cope with the ever increasing COPEX/CAPEX with the introduction of new services in 5G. Contrary to monolithic 4G RAN, 5G RAN is disaggregated into three main units: the Remote Radio Unit (RRU), the Distributed Unit (DU), and the Centralized Unit (CU). All the necessary components related to signal transmission/reception exist in RRU, while DU may contain a set of physical layer functions shifted to the cloud as well as some set of higher layer functions. The rest of higher layer functions will be then treated/processed at the CU. Similarly, the core network can be, monolithic (running as singly entity), disaggregated, or even re-aggregated for different objectives like optimize the resources, reduce the traffic on /access/mid/back-haul, etc. After shifting 5G functions to the cloud (i.e., build them as a cloud-native applications), the number of containers may grow drastically on per service basis (i.e., network slices and sub-slices). This calls for efficient management and orchestration of the ecosystem in order to achieve the envisioned performance. Several frameworks already exist, such as Kubernetes, Docker Swarm, and Apache Mesos. For the ease of packaging, deploying and managing Kubernetes applications, Operator framework is introduced under Kubernetes environment for encapsulating the lifecycle management operations, and thus facilitating service automation. Kue5G-Operator is a good example of such Kubernetes Operator, which will be exploited in this demo. It is worth noting that Kubernetes is considered as a defacto candidate for the orchestration of 5G and beyond in cloud environment as it has the largest community, better support, and thus long term support. The same also holds for Docker container model.

Motivated by the necessity of quick 4G/5G service deployed, re-configuration, and dynamic network management according to the ongoing user traffic, we present the current demo. In this demo, we present 5G dynamic network deployment, (dis/re-) aggregation, and (re)configuration in cloud-native environment. More specifically, we demonstrate in this demo the following: i) support 5G in cloud native via Kube5G-Operator and dynamically automate the network, i.e. upgrade/downgrade services, ii) change the configuration automatically, iii) dynamically switch between (dis/re-)aggregation modes for both CN and RAN according to user traffic. Note that the aforementioned features of Kube5G- Operator spans different phases of openshift operator, ranging from basic install (e.g., application provision), to auto-pilot (e.g., auto-configuration).

Program:
Chair: Osama Arouk (virtual), Navid Nikaein (pre-recorded)

Time Speaker / Presenter Presentation Topic
16:00-16:30 Osama Arouk Demo setup and context
Live demo
Demo results
Q&A
16:30-17:00 Navid Nikaein Demo setup and context
[video: Globecom2020-5G-CN-Eurecom.mp4]
Q&A
17:00-17:30 Osama Arouk Demo setup and context
Live demo
Demo results
Q&A

 

Industry Demo 7 (Live): IS-Wireless RAN Controller for managing the SD-RAN networks

Date/Time: 10 December 2020, Thursday: 16:00-17:30
Room: 201F

Authors:
Syed Saqlain Ali, IS-Wireless, Warsaw, Poland
Adam Flizikowski, IS-Wireless, Warsaw, Poland

Abstract: As per 3GPP standards, 5G RAN is a logical architecture that can be implemented and deployed in different ways depending on operator requirement and preferences, therefore 5G becomes more ‘Network of functions’ rather than a ‘Network of entities.’ Moreover with the availability of 5G specifications (e.g. CUPS, functional split concept), omnipresent virtualization platforms, and the introduction of Software Defined Network (SDN) concept into the mobile infrastructure (RAN virtualization) it will become possible to combine the capabilities together in order to enable configuration, optimization and control of the underlying RAN infrastructure from centralized location called RAN Controller (or aggregation points). Therefore, it is possible to expose eNB/gNB functionalities as xApps (i.e. applications such as Admission control, Radio optimization, Mobility management or any other 3rd party xApps) that are available as plug-ins for the RAN Controller to enforce policies via southbound (SB) interface towards the radio stack. Such an architecture provides such an unprecedented approach for controlling radio resources.

Building on the principles of softwarization, virtualization programmability and intelligence, there has been a huge global interest from the operators towards enhancing the existing RAN architecture. The objective is to assure Software-Defined RAN architecture that provides an efficient radio connection and management control for current and beyond fifth generation (5G) networks.

The focus of the proposed demonstration is the proprietary RAN controller in an interactive environment with SD-RAN, both developed by IS-Wireless. The purpose of this demo is to show the complete interaction of the network administrator with the RAN network that is managed by the network management dashboard backed up by the xApps. The objective will be to first define authorized users who can enter the network in combination with suitable admission control settings (via xApp), perform a sample network provisioning and configuration. The administrator console will be presented that allows configuring the xApps (admission control, simple RRM algorithm) together with a dashboard for performance monitoring visualizations relevant to the scenario (e.g. UE rejection/Acceptance, PRBs, throughput). In addition, the flexible resource allocation policy will be provided with the user interface, allowing custom PRB management (GBR, RR). The RRM settings would in turn be enforced down to the mobile network substrate. We will show that there is online exchange of information between the administrator RAN Controller SD-RAN and the UEs. We will also show how xApps running inside the RAN controller interacts via SB interface with the stack. The number of UEs and their type of connection with the eNB will depend on the capabilities at the venue (i.e. whether we rely on the radio spectrum or cable between eNB and the UE). All in all this event will demonstrate capabilities of ISW’s RAN controller managing resources of an underlying SD-RAN.

  1. Admission Control xApp: Application that includes basic criteria to admit or reject users and control the execution of eNB/gNB in such a way that requested QoS can be achieved for the UE seeking admission.
  2. Scheduling xApp: Legacy scheduling algorithm (e.g. RR, PF) deployed as xApp to allocate a number of RBs but also a custom scheduler will be presented to successfully operate with RAN controller.
  3. Graphical User Interface (GUI): A dedicated graphical user interface will be used to manage the ORAN based SD-RAN deployment (RAN configuration) and provide immediate and visual measures about the effect of each execution (sample KPIs collection).

Program

Time

Speaker/presenter

Presentation Topic

16:00-16:05

(5min)

Dr. Slawomir Pietrzyk, CEO (IS-Wireless)

Introducing ISW

16:05-16:20

(15min)

Mr. Artur Chmielewski

(IS-Wireless)

Open-RAN based SD-RAN/RIC

16:20-16:55

(35min)

Mr. Adam Flizikowski

(IS-Wireless)

IS-Wireless RAN Controller for managing the SD-RAN networks

16:55-17:10

(15min)

 

Dr. Md Arifur Rahman

(IS-Wireless)

Cell-free vRAN for B5G Networks, aligned with the O-RAN Architecture

17:10-17:20

(10min)

Dr. Sławomir Pietrzyk, CEO

(IS-Wireless)

Conclusions and way ahead

17:20-17:30

(10min)

Dr. Sławomir Pietrzyk, CEO

(IS-Wireless)

Q&A

 

Patrons