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IJSTR >> Volume 9 - Issue 1, January 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Fuzzy Based Resource Allocation In 4g-Lte

[Full Text]

 

AUTHOR(S)

M. Naresh, D. Venkat Reddy, K. Ramalinga Reddy

 

KEYWORDS

LTE, eNB, optimal solution, 4G

 

ABSTRACT

Long Term Evolution network or LTE network is a 4G network extension that provides higher data rate by combining multiple technologies and channels through a demand based selection of the appropriate one. This implements an evolved node base station (eNB). The Integrated eNB’s in 4G network are responsible for seamless switching between different technologies and channels. Such a switching decision is often affected by several parameters like available bandwidth, desired load,; inter channel interference, available signal to noise ratio, fading, downlink power and so on. Frequent switch between channels result in waste of a portion of bandwidth in control signal whereas delayed switching results in low packet delivery ratio and in turn low data rate. Hence, an optimal solution is desired to maintain high data rate under scalable 4G network. In this work, we propose an optimal channel selection and switching by suitably controlling the downlink power depending upon fuzzy classification of performance parameters. Results show that the proposed system improves effective data rate and packet delivery ratio in comparison with conventional linear techniques.

 

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