Quality of service (QoS) for LTE network based on adaptive neuro fuzzy inference system
Abstract The main objective of this paper is to design an Adaptive Neuro Fuzzy Inference System model to calculate the quality of service for LTE HetNet applications. The quality of service parameters considered are delay, loss rate, throughput, and jitter. The adaptive neuro fuzzy inference system...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2021-03-01
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Series: | IET Communications |
Online Access: | https://doi.org/10.1049/cmu2.12099 |