An Intelligent Fuzzy Logic-Based Content and Channel Aware Downlink Scheduler for Scalable Video over OFDMA Wireless Systems

Omiyi, Peter E.; Nasralla, Moustafa M.; Rehman, Ikram Ur; Khan, Nabeel; Martini, Maria G.

doi:10.3390/electronics9071071

Open AccessArticle

An Intelligent Fuzzy Logic-Based Content and Channel Aware Downlink Scheduler for Scalable Video over OFDMA Wireless Systems

by

Peter E. Omiyi

¹,

Moustafa M. Nasralla

^2,*

,

Ikram Ur Rehman

³,

Nabeel Khan

¹

and

Maria G. Martini

¹

Faculty of Science, Engineering and Computing, Kingston University, London KT1 2EE, UK

²

Department of Communications and Networks Engineering, Prince Sultan University, Riyadh 11586, Saudi Arabia

³

School of Computing and Engineering, University of West London, London W5 5RF, UK

^*

Author to whom correspondence should be addressed.

Electronics 2020, 9(7), 1071; https://doi.org/10.3390/electronics9071071

Submission received: 15 May 2020 / Revised: 14 June 2020 / Accepted: 22 June 2020 / Published: 30 June 2020

(This article belongs to the Special Issue Practical 5G Network Servicing Use Cases)

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Abstract

The recent advancements of wireless technology and applications make downlink scheduling and resource allocations an important research topic. In this paper, we consider the problem of downlink scheduling for multi-user scalable video streaming over orthogonal frequency division multiple access (OFDMA) channels. The video streams are precoded using a scalable video coding (SVC) scheme. We propose a fuzzy logic-based scheduling algorithm, which prioritises the transmission to different users by considering video content, and channel conditions. Furthermore, a novel analytical model and a new performance metric have been developed for the performance analysis of the proposed scheduling algorithm. The obtained results show that the proposed algorithm outperforms the content-blind/channel aware scheduling algorithms with a gain of as much as 19% in terms of the number of supported users. The proposed 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 minimising the degradation of users closer to the base station.

Keywords: content-aware; cross-layer; fuzzy inference system; OFDMA; scheduling; SVC; video streaming

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MDPI and ACS Style

Omiyi, P.E.; Nasralla, M.M.; Rehman, I.U.; Khan, N.; Martini, M.G. An Intelligent Fuzzy Logic-Based Content and Channel Aware Downlink Scheduler for Scalable Video over OFDMA Wireless Systems. Electronics 2020, 9, 1071. https://doi.org/10.3390/electronics9071071

AMA Style

Omiyi PE, Nasralla MM, Rehman IU, Khan N, Martini MG. An Intelligent Fuzzy Logic-Based Content and Channel Aware Downlink Scheduler for Scalable Video over OFDMA Wireless Systems. Electronics. 2020; 9(7):1071. https://doi.org/10.3390/electronics9071071

Chicago/Turabian Style

Omiyi, Peter E., Moustafa M. Nasralla, Ikram Ur Rehman, Nabeel Khan, and Maria G. Martini. 2020. "An Intelligent Fuzzy Logic-Based Content and Channel Aware Downlink Scheduler for Scalable Video over OFDMA Wireless Systems" Electronics 9, no. 7: 1071. https://doi.org/10.3390/electronics9071071

APA Style

Omiyi, P. E., Nasralla, M. M., Rehman, I. U., Khan, N., & Martini, M. G. (2020). An Intelligent Fuzzy Logic-Based Content and Channel Aware Downlink Scheduler for Scalable Video over OFDMA Wireless Systems. Electronics, 9(7), 1071. https://doi.org/10.3390/electronics9071071

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

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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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