An intelligent fuzzy logic-based content and channel aware downlink scheduler for scalable video over OFDMA wireless systems

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Omiyi, Peter, Nasralla, Moustafa, Rehman, Ikram ORCID: https://orcid.org/0000-0003-0115-9024, Khan, Nabeel and Martini, Maria (2020) An intelligent fuzzy logic-based content and channel aware downlink scheduler for scalable video over OFDMA wireless systems. Electronics, 9 (7). p. 1071. ISSN 2079-9292

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Official URL: https://doi.org/10.3390/electronics9071071

Abstract

We consider the problem of scheduling for multi-user scalable video streaming over downlink OFDMA channels. The video streams are precoded using an SVC scheme which oﬀers temporal scalability. We propose a new fuzzy-logic controller-based scheduling algorithm, which prioritizes the transmissions to diﬀerent users by considering video contents, deadline requirements, and channel conditions. A novel analytical model and a new performance metric have been developed for the performance analysis of the proposed scheduling algorithm. The results show that the proposed algorithm outperforms the content-blind, channel aware scheduling with a gain of as much as 19% in terms of the number of supported users. The algorithm allows for a fairer allocation of resources among users across the entire sector coverage, allowing for the enhancement of video quality at edges of the cell while minimizing the degradation to users closer to the BS. The performance penalty is reduced by allowing additional delays or increased buﬀering at the users.

Item Type:	Article
Identifier:	10.3390/electronics9071071
Keywords:	Scheduling, video streaming, SVC, content-aware, cross-layer
Subjects:	Computing
Related URLs:	Publisher
Depositing User:	Ikram Rehman
Date Deposited:	22 Jun 2020 11:02
Last Modified:	04 Nov 2024 11:48
URI:	https://repository.uwl.ac.uk/id/eprint/7068

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References

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An intelligent fuzzy logic-based content and channel aware downlink scheduler for scalable video over OFDMA wireless systems

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