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Advanced downlink LTE radio resource management for HTTP-streaming

Published: 29 October 2012 Publication History

Abstract

Video traffic contributes to the majority of data packets transported over cellular wireless. Future broadband wireless access networks based on 3GPP's Long Term Evolution offer mechanisms for optimized transmission with high data rates and low delay. However, especially when packets are transmitted in the LTE downlink and if services are run over-the-top (OTT), optimization of radio resources in a multi-user environment for video services becomes infeasible. The current market trend is moving to OTT solutions, also for video transmission, where an emerging standard based on HTTP streaming - DASH - is expected to have a huge success in the upcoming years. The solution presented in this paper consists of a novel technique, which combines LTE features with knowledge on DASH sessions for optimization of the wireless resources. The combined optimization yields an improved transmission of videos over cellular wireless systems which are based on LTE and LTE-Advanced.

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  • (2018)Improving Mobile Video Quality Through Predictive Channel Quality Based Buffering2018 30th International Teletraffic Congress (ITC 30)10.1109/ITC30.2018.00042(236-244)Online publication date: Sep-2018
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    cover image ACM Conferences
    MM '12: Proceedings of the 20th ACM international conference on Multimedia
    October 2012
    1584 pages
    ISBN:9781450310895
    DOI:10.1145/2393347
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 29 October 2012

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    Author Tags

    1. cross-layer design
    2. dash
    3. http-streaming
    4. lte/lte-a
    5. radio resource management

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    MM '12: ACM Multimedia Conference
    October 29 - November 2, 2012
    Nara, Japan

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    Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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    View all
    • (2020)On Energy Efficient Resource Allocation in Shared RANs: Survey and Qualitative AnalysisIEEE Communications Surveys & Tutorials10.1109/COMST.2020.300326122:3(1515-1538)Online publication date: Nov-2021
    • (2019)Experience-Centric Mobile Video Scheduling Through Machine LearningIEEE Access10.1109/ACCESS.2019.29332737(113017-113030)Online publication date: 2019
    • (2018)Improving Mobile Video Quality Through Predictive Channel Quality Based Buffering2018 30th International Teletraffic Congress (ITC 30)10.1109/ITC30.2018.00042(236-244)Online publication date: Sep-2018
    • (2017)QoE-driven optimization for cloud-assisted DASH-based scalable interactive multiview video streaming over wireless networkImage Communication10.1016/j.image.2017.05.01557:C(157-172)Online publication date: 1-Sep-2017
    • (2015)QoE-Based Traffic and Resource Management for Adaptive HTTP Video Delivery in LTEIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2014.236735525:6(988-1001)Online publication date: Jun-2015
    • (2015)QoE-Driven Cross-Layer Optimization for Wireless Dynamic Adaptive Streaming of Scalable Videos Over HTTPIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2014.235709425:3(451-465)Online publication date: Mar-2015
    • (2015)User-aware DASH over Wi-Fi2015 International Conference on Computing, Networking and Communications (ICNC)10.1109/ICCNC.2015.7069440(749-753)Online publication date: Feb-2015
    • (2014)Admission Control for Wireless Adaptive HTTP StreamingProceedings of the 22nd ACM international conference on Multimedia10.1145/2647868.2655056(893-896)Online publication date: 3-Nov-2014
    • (2014)In-Network Quality Optimization for Adaptive Video Streaming ServicesIEEE Transactions on Multimedia10.1109/TMM.2014.236285616:8(2281-2293)Online publication date: Dec-2014

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