VTBO (Video Traffic Bandwidth Optimization) James Won-Ki Hong, PhD
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1 VTBO (Video Traffic Bandwidth Optimization) James Won-Ki Hong, PhD Senior Executive Vice President Chief Technology Officer Advanced Institute of Technology
2 Contents 1 Introduction 2 Issues in Video Streaming Delivery 3 Proposal for Video Traffic Bandwidth Optimization 4 Summary
3 1 Introduction 2 Issues in Video Streaming Delivery 3 Proposal for Video Traffic Bandwidth Optimization 4 Summary
4 01 Background Growth of video traffic leads to data explosion and wireless network resource depletion Smart Devices Generate Explosive Video Traffic 70% of Mobile Data Traffic to be Video (2016; Cisco) KT s mobile traffic increased 300X during the last 3 years Limitations of Network Investment Insignificant revenue growth compared to CAPEX growth Scarce spectrum resources Overall QoE 1 Degradation Video M2M File Sharing Data Source: Cisco VNI (2012) 1 Quality of Experience
5 1 Introduction 2 Issues in Video Streaming Delivery 3 Proposal for Video Traffic Bandwidth Optimization 4 Summary
6 02 Stakeholders in Video Streaming Face Serious Issues The Current Situation Rapid diffusion of smart devices and customers acceptance for video streaming service resulted in data explosion Customers experience inconvenience such as delays, motion stops, blurred and broken images in video streaming services Content Providers (CPs) Network Users Concerns Low user satisfaction Fierce Competition Significant traffic burden on network Delays in loading Low level of QoE Wasted Data Adaptive Streaming/CDN Higher Quality Video Files for Competition Cache Interim Solution Capacity Investment Better Smart Devices Switch to another CP Issues QoE vs. Cost Impact of large file size on network congestion Provision of a single video file for a variety of screen sizes and resolutions
7 03 Issues in Video Streaming Content Providers (CPs) How to assure QoE How to save cost of service (Storage/Computing/Bandwidth) Network How to control network traffic How to save cost of infrastructure (Capex/Opex) Users How to maximize quality How to save data Need for Video Traffic Optimization Solution Differentiate encoding bit rate for different types of device and content Control video delivery when network is congested
8 04 Evolution of Video Streaming Technology The evolving streaming technologies still have limitations: Video quality not optimized to human perception Not possible to assure video quality when network is congested Video streaming with network s help should be considered
9 1 Introduction 2 Issues in Video Streaming Delivery 3 Proposal for Video Traffic Bandwidth Optimization 4 Summary
10 05 Video Traffic Bandwidth Optimization (VTBO) Proposal to overcome limitations of streaming technologies Optimization of video quality and Priority-based traffic control Optimize video quality to prevent bandwidth waste Assure video quality when network is congested Encoding Bit Rate Guideline Video Traffic Packetizing & Labeling Traffic Control Different devices Different types of content Priority label Congestion control
11 06 Optimal Encoding Bit Rate Guideline (1/2) Issue: No consideration of device/content types in video encoding Quality / Cost High Low A B C Optimal Range Video Traffic Bandwidth Non-linear relationship between QoE and bandwidth usage Optimal encoding bit rate prevents excessive traffic generation Suggest optimal encoding bit rate for different types of device/content Reduce network bandwidth usage
12 07 Optimal Encoding Bit Rate Guideline (2/2) Study in progress by KT and Yonsei University Devices: iphone 5, Galaxy S4, ipad Retina Display Content types: Documentary, Sports, Drama, etc. Test Example (Source: Full HD (1080p) 8Mbps Video) Source Content Type Device Type Encoding Guideline Source Genre Spatial Frequency Activity Device Video Resolution Bit Rate (Mbps) iphone 540p Documentary Medium Medium Galaxy S4 720p 5.0 ipad 1080p 6.0 iphone 540p Sports Medium High Galaxy S4 1080p 4.0 ipad 1080p 6.0 iphone 540p Drama High Medium Galaxy S4 540p 2.5 ipad 720p 3.0 Derived optimal encoding bit rate and video resolution required to have QoE similar to that of the source based on subjective QoE measurements Experiment (based on ITU-T 910 standard) conducted for 30 content sources
13 08 Video Traffic Packetizing and Labeling Issue: Difficult to sustain QoE when network is congested CPs decide on VTBO priority (High, Medium, Low) of video packets and mark them accordingly Non-VTBO stream: best effort delivery Priority-based traffic control is expected to minimize QoE degradation when network is congested
14 09 Video Traffic Control (1/2) Issue: Need for video traffic control during network congestion Control with minimal changes in existing network All video packets are delivered when network is not congested VTBO Scheduler controls video packets with priorities during network congestion Non-VTBO Packet I frame P frame B frame Congestion occurred Random drop VTBO Packet I frame P frame B frame VTBO Scheduler Alerting a network congestion from enodeb Priority-based drop
15 Applications 10 Video Traffic Control (2/2) Provide dedicated bearer with higher QoS for VTBO Streaming Request a dedicated bearer Order to setup a dedicated bearer PCRF VTBO Recognize VTBO packets Dedicated bearer Delivered through a premium bearer Tap VTBO Packets are arrived Default bearer Delivered through a best-effort bearer Non-VTBO Packets are arrived VTBO is expected to introduce network s control over video delivery
16 11 Video Quality Comparison: Conventional vs. VTBO Random Discard Priority-based Discard Test conditions Original video with bit rate 4Mbps and resolution 480p (640 x 480), 30fps Approximately 50% of frames dropped for both cases Priority-based discard: only low-priority frames (b-frames) were dropped Random discard: frames were dropped randomly
17 1 Introduction 2 Issues in Video Streaming Delivery 3 Proposal for Video Traffic Bandwidth Optimization 4 Summary
18 12 Video Traffic Optimization Landscape Content Provider Networks Devices Codec (H.264, HEVC, ) CDN Streaming (DASH, HLS, ) VTBO Joint Collaboration of CPs, Devices and Networks 1. Encoding Guideline 2. Priority-based Network Control Enhance QoE and the efficiency of video streaming
19 13 Expected Benefits As-Is To-Be (VTBO) Bandwidth & server cost Win-Win-Win CP/OTT Serve more Customers CP/OTT Reduce Cost Mobile Network load and congestion Carrier User Carrier Network investment User Data Overconsumption Reliable Network Service Reduce Cost Improve QoE Prevent unnecessary data charge
20 14 Future Work Encoding Bit Rate Guideline Tests on more variety of devices and video formats (e.g., UHD) Video Traffic Labeling & Packetizing Priority marking mechanism for transport layer Video Traffic Control Methodology to provide different bandwidth for different priorities Criterion for traffic control operation We are trying to make VTBO an international standard
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