TY - GEN
T1 - More bars, more bang for the buck
T2 - 2014 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2014
AU - Fund, Fraida
AU - Hosseini, S. Amir
AU - Panwar, Shivendra S.
PY - 2014
Y1 - 2014
N2 - A great deal of research energy has been focused on the challenge of delivering high-quality video content to mobile users. In many over-the-top video services, however, the scheduler responsible for channel resource allocation is not aware of content characteristics or playback schedules at end user devices. Therefore, it cannot allocate physical resources in a way that maximizes video quality. For example, it cannot prioritize the transmission of a video frame that is to be displayed within seconds over one whose playback deadline is minutes away. Furthermore, for content that is to be viewed immediately, previous pricing structures that incentivize delaying network use to off-peak hours or WiFi offloading do not apply. To address this issue, we introduce a tiered link quality-dependent data pricing scheme for use together with usage-based pricing in wireless networks. Our pricing model encourages selfish users to prefetch video content during short intervals of good link quality, and use minimal resources when they have a poor link quality. This offers an economic incentive to video consumers to use physical resources more efficiently even with an oblivious scheduler, and leads to better overall video quality for all users in a wireless cell, as well as increased revenue for the wireless service provider.
AB - A great deal of research energy has been focused on the challenge of delivering high-quality video content to mobile users. In many over-the-top video services, however, the scheduler responsible for channel resource allocation is not aware of content characteristics or playback schedules at end user devices. Therefore, it cannot allocate physical resources in a way that maximizes video quality. For example, it cannot prioritize the transmission of a video frame that is to be displayed within seconds over one whose playback deadline is minutes away. Furthermore, for content that is to be viewed immediately, previous pricing structures that incentivize delaying network use to off-peak hours or WiFi offloading do not apply. To address this issue, we introduce a tiered link quality-dependent data pricing scheme for use together with usage-based pricing in wireless networks. Our pricing model encourages selfish users to prefetch video content during short intervals of good link quality, and use minimal resources when they have a poor link quality. This offers an economic incentive to video consumers to use physical resources more efficiently even with an oblivious scheduler, and leads to better overall video quality for all users in a wireless cell, as well as increased revenue for the wireless service provider.
UR - http://www.scopus.com/inward/record.url?scp=84904489210&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84904489210&partnerID=8YFLogxK
U2 - 10.1109/INFCOMW.2014.6849293
DO - 10.1109/INFCOMW.2014.6849293
M3 - Conference contribution
AN - SCOPUS:84904489210
SN - 9781479930883
T3 - Proceedings - IEEE INFOCOM
SP - 565
EP - 570
BT - 2014 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 27 April 2014 through 2 May 2014
ER -