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Journal of Engineering and Applied Sciences

Downlink Scheduling in 5G Massive MIMO
Mohammed Farooq Hamdi, Rashid Abdelhaleem Saeed and Ahmed Saleem Abbas

Abstract: In this study, we doing research on the downlink scheduling algorithms and methods on the fifth generation based on massive MIMO technology as known that the scheduling algorithm help to increase the system efficiency by improving the QoS parameters. Three major methods will be used in this study and a simulation for each was done using MATLAB 2016a, the Best Channel Quality Indicator (Best-CQI), Round Robin and proportional fair. After simulating the 5G system and gain results the best CQI was selected as the best scheduling algorithm in 5G.

How to cite this article
Mohammed Farooq Hamdi, Rashid Abdelhaleem Saeed and Ahmed Saleem Abbas, 2018. Downlink Scheduling in 5G Massive MIMO. Journal of Engineering and Applied Sciences, 13: 1376-1381.

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