2026-05-24T08:54:17Zhttps://keep.lib.asu.edu/oai/requestoai:keep.lib.asu.edu:node-1530162024-12-20T18:25:12Zoai_pmh:alloai_pmh:repo_items153016
https://hdl.handle.net/2286/R.I.25955
http://rightsstatements.org/vocab/InC/1.0/
All Rights Reserved
2014
vii, 34 p. : ill. (some col.)
Masters Thesis
Academic theses
Text
eng
Choudhuri, Sabarna
Ying, Lei
Bliss, Dan
Reisslein, Martin
Arizona State University
Partial requirement for: M.S., Arizona State University, 2014
Includes bibliographical references (p. 34)
Field of study: Electrical engineering
Survey indicates a rise of 81% in mobile data usage in the year 2013. A fair share of this total data demand can be attributed to video streaming. The encoding structure of videos, introduces nuances that can be utilized to ensure a fair and optimal means of streaming the video data. This dissertation proposes a novel user and packet scheduling algorithm that guarantees a fair allocation of resources. MS-SSIM index<br/><br/>is used to calculate the mean opinion score (DMOS) to evaluate the quality of the received video. Simulations indicate that the proposed algorithm outperforms existing algorithms in the literature.
Electrical Engineering
Streaming video
Wireless communication systems
Video compression--Standards.
Resource allocation for video streaming in multi-user wireless networks