Content and buffer aware scheduling for video delivery over LTE

Authors:
Ahmed Ahmedin;Kartik Pandit;Dipak Ghosal;Amitabha Ghosh
Affiliations:
University of California, Davis, Davis, CA, USA;University of California, Davis, Davis, CA, USA;University of California, Davis, Davis, CA, USA;UtopiaCompression Corporation, Los Angeles, CA, USA
Venue:
Proceedings of the 2013 workshop on Student workhop
Year:
2013

Citing 4
Cited 0

Elements of information theory

Elements of information theory
Energy-Efficient Multicasting of Scalable Video Streams Over WiMAX Networks

IEEE Transactions on Multimedia
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard

IEEE Transactions on Circuits and Systems for Video Technology
Distributed Media-Aware Rate Allocation for Wireless Video Streaming

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

We propose a content and buffer aware Long Term Evolution (LTE) downlink scheduler for allocating radio resources to multiple users requesting Scalable Video Coding (SVC) encoded videos from a server. The scheduler adaptively controls the video quality by assigning physical resource blocks (PRBs) to the users based on the requested video type, device capability, channel quality, and buffer state in the user equipment (UE). The scheduler maximizes the average video quality across all users for a limited number of PRBs, and can be installed in existing LTE systems without additional equipment and very limited signaling overhead.