Dynamic joint resource allocation and femtocell selection for 5G hetnet

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Abstract

Due to the growth explosion of Machine-to-Machine (M2M) and Human-to-Human (H2H) communications traffic, the majority of the mobile network operators (MNOs) recently start the deployment of heterogeneous network (HetNet) including femtocells. HetNet is a promising solution for next generation networks to meet the increasing of data rate demand. Whereas, femtocell selection scheme plays a critical role in improving the benefit of this technology. In this paper, we have developed and then evaluated a Dynamic Joint Resource Allocation and Femtocell selection for 5G HetNet (J5G-RAS). Besides, our work aims to enhance the resource utilization by dividing the resources of each station in static and dynamic resources. Significant simulation results, show the improvements of the system model performances in terms of resource utilization ratio, dropped request probability, and total average throughput of the system.

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APA

Bouaziz, A., Saddoud, A., Fourati, L. C., & Chaouchi, H. (2018). Dynamic joint resource allocation and femtocell selection for 5G hetnet. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11104 LNCS, pp. 90–101). Springer Verlag. https://doi.org/10.1007/978-3-030-00247-3_8

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