Optimal Energy Efficiency Through Dpsn Based 5g Network
|International Journal of Electronics and Communication Engineering|
|© 2020 by SSRG - IJECE Journal|
|Volume 7 Issue 3|
|Year of Publication : 2020|
|Authors : G. V. Ramanaiah , L. Krishna kavya, P. V. Rajya Lakshmi, V. Sai Kumar, Sk. Shahed Ali|
How to Cite?
G. V. Ramanaiah , L. Krishna kavya, P. V. Rajya Lakshmi, V. Sai Kumar, Sk. Shahed Ali, "Optimal Energy Efficiency Through Dpsn Based 5g Network," SSRG International Journal of Electronics and Communication Engineering, vol. 7, no. 3, pp. 29-34, 2020. Crossref, https://doi.org/10.14445/23488549/IJECE-V7I3P105
With the increase of new operator(s) for mobile equipment's utilizing 4G services, these 4G network services extended rapidly. Presently focus is moved to 5G advances specifically meeting high data rates. To meet the necessary data rates, network densification is a clear way. Integrating Small cells in ultra-dense with mm-Wave backhauled massive MIMO enabled base stations is a successful method for accomplishing network densification, yet it to be designed in an energy effective way. This paper will propose an optimal Energy Efficient(EE) tractable model for designed Small cell DPSN (Digitally Phase Shifter Network) architecture integrating Massive MIMO based mm-wave backhauled network. This paper examines the practicality of DPSN based mmWave Massive MIMO-based backhaul for 5G Ultra-Dense Small cells. Afterward, tractable uplink general Energy efficiency(EE) optimized framework is determined for a proposed network concerning the Small cell Base Station(BSs) density, the transceiver hardware impairments, and the pilot reuse factor. One of the proposed network's key highlights is simultaneously supporting numerous Small cell Base Stations(SBS) in an energy-efficient way utilizing general Energy Efficiency maximizing framework.
5G, Network densification, mm-Wave, DPSN, Massive MIMO, Optimal Energy Efficiency
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