Performance Investigation of Scheduling Algorithms for LTE Networks

Zafar, Mohammad Masoom; Hafeez, Ammar

doi:10.6025/jnt/2018/9/3/73-84

Cited by 1 publication

(1 citation statement)

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“…Scheduling deals with the assignment of resources for transmission of data. The main objective of a scheduler is to provide an optimized allocation of resources for the User Equipment (UEs) in terms of time, frequency and power, while maintaining a satisfactory Quality of Service (QoS) level [7]. Schedulers in the Base station control the allocation of resources among users while mitigating intra-cell interference.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Scheduling Algorithms in 5G Uplink Transmission

Mamode¹,

Fowdur²

2022

J. Engg. Res. & Sci.

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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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Section: Introductionmentioning

confidence: 99%