Energy Management and Optimal Allocations of Resource in Ultra-dense 5G Networks Using OGDNG Theory with GWO Method

Author:

Moni V. Vijimon,Judson D.ORCID,Davix X. Ascar,John J.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Reference27 articles.

1. Cisco. Cisco visual network index: global mobile traffic forecast update 2014–2019 white paper. San Jose, CA (2015).

2. Bhushan, N., Li, J., Malladi, D., Gilmore, R., Brenner, D., Damnjanovic, A., Sukhavasi, R. T., Patel, C., & Geirhofer, S. (2014). Network densification: The dominant theme for wireless evolution into 5G. IEEE Communications Magazine, 52(2), 82–89. https://doi.org/10.1109/MCOM.2014.6736747

3. Alexiou, A. (2015). 5G vision, enablers and challenges for the wireless future (white paper). Wireless World Research Forum.

4. Waheidi, Y. M., Jubran, M., & Hussein, M. (2019). User driven multiclass cell association in 5G HetNets for mobile & IoT devices. IEEE Access, 7, 82991–83000. https://doi.org/10.1109/ACCESS.2019.2924521

5. Ruska, T. (2003). Adaptive power management for a node of a cellular telecommunications network. US Patent 6,584,330.

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