Energy-Efficient Proactive Scheduling Policies for Finite-Buffer Regular Service Guarantees
Author | Abdellatif, Basem |
Author | Galal Khafagy, Mohammad |
Author | Chen, Nan |
Author | ElFouly, Tarek |
Author | Khattab, Tamer |
Available date | 2022-10-31T19:21:55Z |
Publication Date | 2022 |
Publication Name | IEEE Wireless Communications and Networking Conference, WCNC |
Resource | Scopus |
Abstract | In 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. |
Sponsor | This work has been made possible by partial support from the Center for Energy Systems Research at Tennessee Technological University. |
Language | en |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Subject | multimedia streaming power allocation proactive scheduling QoS threshold-based |
Type | Conference Paper |
Pagination | 72-77 |
Volume Number | 2022-April |
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