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Cloud VR
Technology and Application



  • Available for pre-order. Item will ship after November 12, 2020
ISBN 9780367491673
November 12, 2020 Forthcoming by CRC Press
272 Pages - 100 B/W Illustrations

 
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Book Description

Based on the technical accumulation and practice of Huawei iLab in the Cloud VR field, this book systematically describes the advantages of Cloud VR technologies, technical requirements on clouds, networks, and terminals as well as solution implementation, Cloud VR experience evaluation baselines and methods, and current business practices.

Cloud VR introduces cloud computing and cloud rendering to VR services. With fast and stable networks, cloud-based display output and audio output are coded, compressed, and transmitted to user terminals, implementing cloud-based VR service content and content rendering. Cloud VR has stringent requirements on bandwidth and latency, making it a proficient application for 5G and gigabit home broadband networks in the era of “dual G”.

As the first advocate of Cloud VR, Huawei iLab developed the first prototype of the Cloud VR technical solution, initiated the industry's first Cloud VR industry cooperation plan — VR OpenLab with partners, and incubated the world's first Cloud VR commercial project with China Mobile Fujian. Cloud VR Technology and Application is the first official publication of Huawei iLab's research and practice achievements. It systematically and thoroughly introduces the Cloud VR concept, solution architecture, key technologies, and business practices, and is of great academic and social application values.

This book is easy to understand and practical, and is suitable for VR vendors, VR technology enthusiasts, carriers, network vendors, cloud service providers, universities, and other enterprises or scientific research institutes.

Table of Contents

1 Cloud VR Overview

1.1 VR Overview

1.1.1 What Is VR?

1.1.2 VR Development

1.1.3 VR Features

1.2 VR Industry Environment

1.2.1 VR Industry Chain

1.2.2 Investment in the VR Industry

1.2.3 VR Industry Policies

1.3 Dilemmas of VR

1.3.1 Fractured Ecosystem

1.3.2 Unaffordable

1.3.3 Limited Experience

1.4 Emergence of Cloud VR

1.4.1 Cloud Is the Future

1.4.2 Cloud-based Applications Are Supported by Network Infrastructure

1.4.3 Cloud VR Will Drive the Industry

1.5 Application Scenarios of Cloud VR

1.5.1 Application Scenarios at Homes

1.5.2 Application Scenarios of Industries

2 Cloud VR Technologies

2.1 | Cloud VR Service and Experience

2.1.1 Cloud VR Service Types

2.1.2 Cloud VR Key Elements for Experience

2.2 |Overall Technical Architecture

2.3 | Cloud VR Technical Architecture and Key Technologies of Weak-Interaction Services

2.3.1 Core Technical Architecture

2.3.2 Key Issues: Coding, Decoding, and Transmission of Large-Volume VR Video Data

2.3.3 Key Technologies: Cloud VR Video Transmission Technology

2.4 Technical Architecture and Key Technologies of Strong-Interaction Cloud VR Services

2.4.1 Core Technical Architecture

2.4.2 Key Issues: Meeting MTP Delay Requirement

2.4.3 Key Technologies: Cloud VR Real-Time Rendering Technology

2.5 | Cloud, Pipe, and Device Technical Requirements

2.5.1 Cloud VR Development Phases

2.5.2 Key Service Metrics

2.5.3 Platform, Network, and Terminal Technology Requirements

3 Cloud VR Service Platform Technologies

3.1 Weak-Interaction Cloud VR Service Platform

3.1.1 Service Platform Overview

3.1.2 Coding/Decoding Technologies

3.1.3 Streaming Technology

3.1.4 CDN Technology

3.1.5 FoV Transmission Technology

3.2 Strong-Interaction Cloud VR Service Platform

3.2.1 Service Platform Overview

3.2.2 Virtualization Technology

3.2.3 Rendering Technology

3.2.4 Fast Coding/Decoding Technologies

3.2.5 Streaming Technology

4 Cloud VR Network Solution

4.1 Network Metric Requirements of Cloud VR Services

4.1.1 Network Metric Requirements for Weak-Interaction Cloud VR Services

4.1.2 Network Metric Requirements of Strong-Interaction Cloud VR Services

4.2 Target Network Architecture of Cloud VR Services

4.2.1 Metro Network

4.2.2 Access Network

4.2.3 Home Network

4.2.4 5G Network

4.3 Cloud VR Network Transmission Solution

4.4 QoS Planning and Deployment

4.5 Future Network Evolution Strategy of Cloud VR

5 Cloud VR Terminals

5.1 Cloud VR Terminal Forms

5.1.1 Working Principles of VR Terminals

5.1.2 Classification and Comparison of VR Terminals

5.1.3 Cloud VR Terminal Selection

5.2 Development Status of Key Cloud VR Terminal Technologies

5.2.1 Chip Technology

5.2.2 Display Technology

5.2.3 Perception and Interaction

5.2.4 Network Transmission

5.2.5 Head Motion Rendering

5.3 Interconnection Between Cloud VR Terminals and the Cloud Platform

5.3.1 Cloud Platform Interconnection Requirements

5.3.2 System Function Customization

5.3.3 Login Authentication

5.3.4 UI Customization

5.3.5 Application Integration

5.3.6 Casting

5.3.7 System Upgrade

6 Research on Cloud VR Service Experience

6.1 Analysis and Modeling

6.1.1 Definition and Breakdown of Immersive VR Requirements

6.1.2 Definition and Breakdown of Interactive VR Requirements

6.2 Evaluation Baseline

6.2.1 Evaluation Items

6.2.2 Evaluation Methods

7 Cloud VR Business Practices

7.1 Cloud VR Brings Market Opportunities to Operators

7.1.1 Current Status of the Cloud VR Industry

7.1.2 Operators Have Advantages in Developing Cloud VR

7.1.3 Telco Cloud VR Industry Ecosystem

7.2 2C/2H Business Practices of Telco Cloud VR

7.2.1 Business Model Design

7.2.2 User Package Design

7.3 B2B2C Business Practices of Telco Cloud VR

7.3.1 Business Model Design

7.3.2 Cloud VR Live Broadcast Practices

8 Future of Cloud VR

Acronyms and Abbreviations

Reference Documentation

 

 

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Author(s)

Biography

Li Dawei, Director of Huawei iLab, has 19 years of experience in network product and solution design, and extensive experience in product design, development, and network planning and design. He was previously the ATN Product Executive of Huawei and the Director of the Fixed Network Product Mgmt America Branch. Xiong Huaping, architect of Huawei iLab, has 15 years of experience in network product and solution design, and extensive experience in product design, development, and network planning and design. He has led the design or version planning of multiple features in Huawei PTN products and industry network solutions. Xu Mu, architect of Huawei iLab, has 14 years of experience in network product development and VR industry ecosystem cooperation, has led the test design of multiple versions and features of Huawei WDM products, and is responsible for iLab industry ecosystem cooperation. Xu Lingling, senior engineer of Huawei iLab, has 7 years of experience in network product development and 5 years of experience in product marketing. She has participated in the development of Huawei PTN series products and led the marketing and go-to-market of multiple products and versions. Huang Kun, senior engineer of Information Digitalization and Experience Assurance Module of Transmission & Access Product Line, has 10 years of experience in product digitalization and information development, 4 years of experience in network product marketing, and extensive experience in content and experience development.