Comparative Analysis of Scheduling Algorithms in 5G Uplink Transmission
by Maryam Imran Sheik Mamode 1,* 
, Tulsi Pawan Fowdur 2
1 University of Mauritius, Reduit, Mauritius
2 Department of Electrical & Electronic Engineering, University of Mauritius, Reduit, Mauritius
* Author to whom correspondence should be addressed.
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 41-51, 2022; DOI: 10.55708/js0105005
Keywords: Scheduling, 5G, Uplink, Proportional Fair, Round Robin, Best CQI
Received: 28 February 2022, Revised: 11 April 2022, Accepted: 20 April 2022, Published Online: 12 May 2022
APA Style
Mamode, M. I. S., & Fowdur, T. P. (2022). Comparative Analysis of Scheduling Algorithms in 5G Uplink Transmission. Journal of Engineering Research and Sciences, 1(5), 41–51. https://doi.org/10.55708/js0105005
Chicago/Turabian Style
Mamode, Maryam Imran Sheik, and Tulsi Pawan Fowdur. “Comparative Analysis of Scheduling Algorithms in 5G Uplink Transmission.” Journal of Engineering Research and Sciences 1, no. 5 (May 1, 2022): 41–51. https://doi.org/10.55708/js0105005.
IEEE Style
M. I. S. Mamode and T. P. Fowdur, “Comparative Analysis of Scheduling Algorithms in 5G Uplink Transmission,” Journal of Engineering Research and Sciences, vol. 1, no. 5, pp. 41–51, May 2022, doi: 10.55708/js0105005.
5G is the successor to 4G technology and it has enabled a new level of user experience with much greater speeds and much lower latencies. Scheduling is the method of allocating resources for transmission of data. In this paper, three scheduling algorithms have been investigated, namely Proportional Fair, Round Robin and Best CQI. An uplink 5G system with one base station and four user equipment were used to evaluate the three algorithms by varying four sets of parameters. Simulation results showed that the Round Robin algorithm was the fairest of all three algorithms by displaying almost similar resource share percentage for the four user equipment. Proportional Fair algorithm was observed to yield a higher throughput than the Round Robin algorithm for a specific user in some cases. It offered a better trade-off between throughput and fairness. In the case where distance of user 1 from the base station was 100m, the system simulated with the proportional fair technique yielded a peak throughput 30% higher than the system simulated with Round Robin technique. On the other hand, the Best CQI algorithm displayed a peak throughput value about 35% higher than the proportional fair algorithm for the 100m distance case. The Best CQI algorithm was found to be the least fair of all three algorithms as it favored users with better channel conditions.
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