Paper Title
Tri Feature Streaming Approximation Based Random Placement and Location Selection for Macro Cells Units for Improved Data Rate in 5G-SDN Networks
Article Identifiers
: Authors
Keywords
5G, SDN, MIMO, Macro Cell, Small Cell, Bandwidth Utilization, Streaming Rate, TSA Model.
Abstract
The growing need of higher data rate streaming challenges the network service providers. The 5G network has been emerged to improve the streaming performance and set of algorithms available for the development of bandwidth utilization and streaming performance. The earlier methods suffer to achieve higher performance in terms of streaming and bandwidth utilization. To improve the performance, an Tri Feature Streaming Approximation technique is presented in this paper. The Tri feature streaming approximation technique is aimed to maintain the streaming performance with the features of cell units, bandwidth utilization, and congestion. Any sink node has been analyzed for the routes available, streaming performance, bandwidth utilization, presence of micro/macro/small units, MMO units and so on. Based on the above mentioned features, three factors have been analyzed as route support, cell support, and bandwidth support. Based on these values, tri feature streaming performance has been approximated. Approximated result has been used to find the suitability of routes to maintain the streaming performance and performs random placement of cells required. The proposed method improves the performance of streaming and bandwidth utilization.
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How To Cite (APA)
S.Sasikala, S.L.Swarna, & D.Kokila (April-2022). Tri Feature Streaming Approximation Based Random Placement and Location Selection for Macro Cells Units for Improved Data Rate in 5G-SDN Networks. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(4), 592-598. https://ijnrd.org/papers/IJNRD2204067.pdf
Issue
Volume 7 Issue 4, April-2022
Pages : 592-598
Other Publication Details
Paper Reg. ID: IJNRD_180930
Published Paper Id: IJNRD2204067
Downloads: 000122015
Research Area: Science & Technology
Author Type: Indian Author
Country: Namakkal, Tamil Nadu, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2204067.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2204067
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