2013
DOI: 10.1002/ett.2640
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On the study of fundamental trade‐offs between QoE and energy efficiency in wireless networks

Abstract: During recent years, for the ever‐growing number of users with the exponential growth of high‐data‐rate traffic demand, quality of experience (QoE) has emerged as an important issue, providing important measures and assessment metrics for users, service providers and operators. Meanwhile, rapid development of information and communications technology significantly contributes to the increasing trend of energy consumption and global warming. As a result, green communications that mainly studies energy efficienc… Show more

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Cited by 33 publications
(27 citation statements)
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“…• The buffer sizes are given in multiples of the depletion capacity and the average off time through the parameter κ according to (20). For the sake of convenience, we define small buffers via a full buffer depletion time of less than one average off time, i.e.…”
Section: Numerical Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…• The buffer sizes are given in multiples of the depletion capacity and the average off time through the parameter κ according to (20). For the sake of convenience, we define small buffers via a full buffer depletion time of less than one average off time, i.e.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…In [20], the authors suggest a new metric called QoE perceived per user per Watt (QoEW). This metric is useful given the difficulties to measure and to model the QoE-EE trade-offs for different particular scenarios and network architectures.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Towards this goal, an interesting definition is suggested in [14], which is called QoE perceived by user per Watt (QoEW). This metric is useful given the difficulties to measure and to model the QoE-EE trade-off for different scenarios and network architectures, where EE stands for Energy Efficiency.…”
Section: Quality Of Experiencementioning
confidence: 99%
“…Furthermore, based on that, different optimization studies can be done that combine multiple objectives related to the characteristics of user type and power consumption together with other relevant parameters like network technology, transport protocol, mobile device, battery life, e2e bandwidth and interference factor [6,10,14].…”
Section: Quality Of Experiencementioning
confidence: 99%