Analysis on fog Network for Small Cell Network using Neuro Fuzzy
N Kannan1, SK Lishanth2, S Sajid Hussain3, Ashutosh Gaudat4
1Dr. N Kannan, Computer Science Engineering, SRM Institute of Science and Technology, Chennai, India.
2SK Lishanth, Computer Science Engineering, SRM Institute of Science and Technology, Chennai, India.
3S Sajid Hussain, Computer Science Engineering, SRM Institute of Science and Technology, Chennai, India.
4Ashutosh Gauda, Computer Science Engineering, SRM Institute of Science and Technology, Chennai, India.
Manuscript received on May 16, 2020. | Revised Manuscript received on May 21, 2020. | Manuscript published on June 10, 2020. | PP: 518-523 | Volume-9 Issue-8, June 2020. | Retrieval Number: H6186069820/2020©BEIESP | DOI: 10.35940/ijitee.H6186.069820
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this manuscript we are establishing a new, remote backhaul system for small cell systems based on a powerful joint effort of Main Stations (MSs) that we call Fog-Radio Access Network (F-RAN) backhaul technology. By using fog, our proposed technique gives MSs the possibility to organize and methodology the signs obtained in various ways that can effectively extend the transmission limit of the backhaul network. We first model an F-RAN initiated and three backhauling procedures, explicitly Direct, DF, and Cloud-RAN (C-RAN), to be enforced. At this point we evaluate and think about the achievement of these methodologies. Numerical findings show that our proposed technique provides cell borders with the highest throughput to customers in most different territories and retains a comparable display. F-RAN thus performs better for minimized small cell systems with low backhaul channels than any other strategy.
Keywords: Backhaul Techniques, fog Computing, Neuro Fuzzy, Small Cell Networks, F-RAN, Dynamic MSs.
Scope of the Article: Fuzzy Logics