TY  - JOUR
T1  - Downlink Scheduling in 5G Massive MIMO
AU - Farooq Hamdi, Mohammed AU - Abdelhaleem Saeed, Rashid AU - Saleem Abbas, Ahmed 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 6
SP  - 1376
EP  - 1381
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.1376.1381
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.1376.1381
KW  - 5G
KW  -massive MIMO
KW  -downlink scheduling
KW  -round robin
KW  -best-CQI
KW  -proportional fair
AB  - 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.
ER  -