Enhancing Mobile Internet Experience over Future Generation WiMAX
IEEE 802.16 Presentation Submission Template (Rev. 9)
Document Number:
IEEE C802.16-10/0006r1
Date Submitted:
2010-01-10
Source:
Rath Vannithamby, Jing Zhu, Jie Hui, Shweta Shrivastava, Ali Koc
Intel Corporation
Venue:
San Diego, CA, USA
Base Contribution:
None
Purpose:
For discussion in the Project Planning Adhoc
Notice:
E-mail: [email protected]
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Motivation
• Enable large number of Mobile Internet devices with various
applications
– Runs simultaneous internet applications
– Connected always
• Emerging Devices:
– Smart Phone/Netbook: Social networking (twitter, chat, facebook, etc.),
Skype, Browsing, Streaming
– Gaming consoles: PSP
– Sensors: Traffic sensors, weather sensors, surveillance
– eReaders: Kindle and nook for download newspapers, books, blogs etc.
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Problem Statement
• Goal: Maximize the system capacity for Mobile Internet
Applications with “good” user experience and long battery life
– E.g., increase number of simultaneous Skype, YouTube, social networking
users while maintaining the quality of experience (QoE)
• Assumptions:
– Large number of heterogeneous devices and applications
– Dynamic traffic characteristics (variable packet size, inter-arrival time, and
arrival rate due to end-2-end congestion control like TCP, multimedia
contents, and other network factors)
– Time-varying performance requirements due to network environment
changing and various application implementations
– Lack of common way to quantify user experience for various Mobile
Internet applications.
• MOS for voice, but what for gaming, streaming, social networking
– Mapping the user experience to QoS parameters is complex
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Limitation of Today’s Approach
• QoS guarantee is based on metrics such as throughput, delay,
jitter, but it is not straightforward to map these QoS parameters to
heterogeneous mobile internet user experience
– E.g., Skype packet size and inter-arrival varies over time [1]. No standard way to
quantify the QoS parameters of Skype voice.
• QoS guarantee via over provisioned resources – Costly and
wasteful
• Cost effective solutions are needed for current/future Internet
apps
• Require negotiation and pre-arrangements with third party
vendors
• No QoS mechanisms for best effort (BE) service class
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Conclusions & Recommendation
Conclusions:
• Mobile internet applications have dynamic traffic characteristics
and time-varying performance requirements
• Today’s QoS Mechanisms not scalable for Mobile Internet
Applications
Recommendations:
• Develop air-interface hooks to maintain “good” Mobile Internet
Application user QoE. The hooks are needed
– To exchange application level information for better radio/network
resource scheduling
– To exchange radio/network level information for better application
adaptation
• Develop deep sleep mechanisms for devices like sensors
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References
[1] Jing Zhu, “On Skype Voice Traffic Characteristics, Rate Adaptation, and
User Experience”, to appear in IEEE WCNC 2010
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