ANFIS Models for Dynamic Load Balancing in 3GPP LTE : A Fresh Take on Load Balancing in NGN

Language: English

Published by LAP LAMBERT Academic Publishing, 2012

3659192880 / 9783659192883

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nach der Bestellung gedruckt Neuware - Printed after ordering - Next Generation Networks (NGN) such as LTE and WiMAX offer higher spectral efficiency and data rates using new technologies such as femto cells, relay nodes etc. These networks are normally deployed for use in parallel with existing networks. This approach to network deployment complicates network operation and management, thus translating to higher capital and operational costs. In a bid to minimize these costs, self-organising operations were envisioned. Load balancing is a self-organising operation. It aims at ensuring an equitable distribution of users in the network. Several methods based on iterative techniques have been proposed and some adopted for load balancing. However, these iterative techniques are computationally intensive and use a limited number of parameters for load balancing. This work proposes two models developed from network simulations for load balancing. The two models are based on Adaptive Neuro-Fuzzy Inference System (ANFIS) designed using load indicators and key performance indicators.…

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Title
ANFIS Models for Dynamic Load Balancing in 3GPP LTE : A Fresh Take on Load Balancing in NGN
Author
Matthew K. Luka
Publisher
LAP LAMBERT Academic Publishing
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659192880
ISBN 13
9783659192883
Item weight
173 grams
Dimensions
220x150x7 mm

AHA-BUCH GmbH

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