TY - GEN
T1 - Optimal scalable video multiplexing in mobile broadcast networks
AU - Tabrizi, Farid Molazem
AU - Hsu, Cheng Hsin
AU - Hefeeda, Mohamed
AU - Peters, Joseph G.
PY - 2010/10/25
Y1 - 2010/10/25
N2 - We study the problem of broadcasting multiple variable bit rate scalable video streams from a base station to a large number of mobile receivers. Our objective is to maximize bandwidth utilization, energy saving and perceived quality of the transmitted videos. In practice, the aggregate bitrate of the video streams can be greater than the available bandwidth and then the receivers may experience playout glitches. We propose an algorithm to take advantage of opportunities provided by scalable video coding to improve performance when the bandwidth is limited. To achieve this, we provide a model for prioritizing video packets coded in medium grain scalability and a decision mechanism to drop quality layers of video frames when the bandwidth is limited. The result is increased bandwidth utilization and quality of the transmitted videos. Our experiments, performed on a real mobile TV testbed, show that our algorithm significantly out-performs current methods in terms of bandwidth utilization and also achieves near optimal energy saving and quality of the transmitted video streams.
AB - We study the problem of broadcasting multiple variable bit rate scalable video streams from a base station to a large number of mobile receivers. Our objective is to maximize bandwidth utilization, energy saving and perceived quality of the transmitted videos. In practice, the aggregate bitrate of the video streams can be greater than the available bandwidth and then the receivers may experience playout glitches. We propose an algorithm to take advantage of opportunities provided by scalable video coding to improve performance when the bandwidth is limited. To achieve this, we provide a model for prioritizing video packets coded in medium grain scalability and a decision mechanism to drop quality layers of video frames when the bandwidth is limited. The result is increased bandwidth utilization and quality of the transmitted videos. Our experiments, performed on a real mobile TV testbed, show that our algorithm significantly out-performs current methods in terms of bandwidth utilization and also achieves near optimal energy saving and quality of the transmitted video streams.
KW - Mobile video broadcasting
KW - Scalable video coding
KW - Transmission scheduling
KW - Wireless video streaming
UR - https://www.scopus.com/pages/publications/78650866070
U2 - 10.1145/1878022.1878025
DO - 10.1145/1878022.1878025
M3 - Conference contribution
AN - SCOPUS:78650866070
SN - 9781450301657
T3 - MoViD'10 - Proceedings of the 2010 ACM Workshop on Mobile Video Delivery, Co-located with ACM Multimedia 2010
SP - 9
EP - 14
BT - MoViD'10 - Proceedings of the 2010 ACM Workshop on Mobile Video Delivery, Co-located with ACM Multimedia 2010
T2 - 3rd Workshop on Mobile Video Delivery, MoViD 2010, Co-located with ACM Multimedia 2010
Y2 - 25 October 2010 through 25 October 2010
ER -