Name
Abstract | ||
|---|---|---|
The growth of wireless traffic and the demand for higher data rates motivated researchers around the world to enhance the Long Term Evolution-Advanced (LTE-A) performance. Recently, a considerable amount of the research had been done to optimise the packet schedulers. The packet schedulers distribute the radio resources among users to increase spectrum efficiency and network performance. In this paper, a Generalized Proportional Fair (GPF) scheduler is used to enhance the scheduler performance compared to the other conventional schedulers. The GPF scheduler performance is compared in terms of users' throughput, energy efficiency, spectral efficiency and fairness using system level simulations. The simulation results show that the proposed scheduler outperforms the conventional schedulers proposed for LTE-A. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/CEEC.2017.8101612 | 2017 9th Computer Science and Electronic Engineering (CEEC) |
Keywords | DocType | ISSN |
Long Term Evolution-Advanced,packet schedulers,spectrum efficiency,network performance,conventional schedulers,GPF scheduler performance,spectral efficiency,fairness using system level simulations,higher data rates,wireless traffic,generalized proportional fair scheduler,fairness,energy efficiency,user throughput,LTE-A performance | Conference | 2472-1530 |
ISBN | Citations | PageRank |
978-1-5386-3008-2 | 1 | 0.40 |
References | Authors | |
5 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Samuel O. Aramide | 1 | 1 | 0.40 |
| Basel Barakat | 2 | 4 | 2.53 |
| Yi Wang | 3 | 1 | 0.40 |
| Simeon Keates | 4 | 475 | 63.98 |
| Kamran Arshad | 5 | 328 | 26.17 |