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AuthorAbdellatif, Basem
AuthorGalal Khafagy, Mohammad
AuthorChen, Nan
AuthorElFouly, Tarek
AuthorKhattab, Tamer
Available date2022-10-31T19:21:55Z
Publication Date2022
Publication NameIEEE Wireless Communications and Networking Conference, WCNC
ResourceScopus
URIhttp://dx.doi.org/10.1109/WCNC51071.2022.9771932
URIhttp://hdl.handle.net/10576/35658
AbstractIn this work, we study the energy saving merits of proactive scheduling for downlink multimedia streaming towards a finite-buffer receiver under Rayleigh fading. Three different threshold-based proactive scheduling policies are proposed, each with a different threshold structure on the queue/channel state space. The first two policies consider a single channel gain threshold per queue state, either with a fixed or variable cache amount, whereas the last policy imposes a set of thresholds on the channel gain, fixed on all queue states. We consider a time-causal system in which only the current and previous environment states are known. Required transmit power/signal-to-noise ratio (SNR) for the proposed policies is analytically derived, and numerically benchmarked against a non-proactive (reactive) transmission upper bound, as well as to a non-causal genie-aided lower bound with fully-observable future channel values. Numerical results show that proactive scheduling could save more than 50% of the transmission energy on average. 2022 IEEE.
SponsorThis work has been made possible by partial support from the Center for Energy Systems Research at Tennessee Technological University.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Subjectmultimedia streaming
power allocation
proactive scheduling
QoS
threshold-based
TitleEnergy-Efficient Proactive Scheduling Policies for Finite-Buffer Regular Service Guarantees
TypeConference Paper
Pagination72-77
Volume Number2022-April


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