2016 IEEE International Conference on Communications (ICC) 2016
DOI: 10.1109/icc.2016.7511203
|View full text |Cite
|
Sign up to set email alerts
|

When To take what: QoE-aware resource redistribution among web browsing users and the potential of prioritizing QoE sensitive content

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2017
2017
2020
2020

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 13 publications
0
1
0
Order By: Relevance
“…Turning the attention to applications other than video streaming, a wireless resources redistribution algorithm is proposed in (Szabó et al, 2016) for web browsing, where the page state information is adopted as one of the inputs of the scheduler -more specifically, the proposed method subtracts some capacity from a client when the respective web page enters the "interactive" state, i.e., when something first renders on the screen and the respective user can start browsing; afterwards, the liberated resources are redistributed to those clients that have web pages in the "loading" state, i.e., the initial downloading part where the respective users are awaiting something to be displayed and which corresponds to the most sensitive period in terms of QoE. Nguyen et al (2017) presented a scheduling strategy for real-time services (especially for voice, but it can also be used for video flows), which follows a PF-like approach with the addition of a multiplying term that takes into account a QoE metric computed at the devices and reported to the scheduler (this QoE metric depends on the delay, packet loss rate and network jitter); as a result, the users that have higher a QoE have a higher probability of being prioritized under this scheduling algorithm, which could pose some difficulties in terms of fairness.…”
Section: Other Applicationsmentioning
confidence: 99%
“…Turning the attention to applications other than video streaming, a wireless resources redistribution algorithm is proposed in (Szabó et al, 2016) for web browsing, where the page state information is adopted as one of the inputs of the scheduler -more specifically, the proposed method subtracts some capacity from a client when the respective web page enters the "interactive" state, i.e., when something first renders on the screen and the respective user can start browsing; afterwards, the liberated resources are redistributed to those clients that have web pages in the "loading" state, i.e., the initial downloading part where the respective users are awaiting something to be displayed and which corresponds to the most sensitive period in terms of QoE. Nguyen et al (2017) presented a scheduling strategy for real-time services (especially for voice, but it can also be used for video flows), which follows a PF-like approach with the addition of a multiplying term that takes into account a QoE metric computed at the devices and reported to the scheduler (this QoE metric depends on the delay, packet loss rate and network jitter); as a result, the users that have higher a QoE have a higher probability of being prioritized under this scheduling algorithm, which could pose some difficulties in terms of fairness.…”
Section: Other Applicationsmentioning
confidence: 99%