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ANFIS Models for Dynamic Load Balancing in 3GPP LTE (Paperback) Loot Price: R1,181
Discovery Miles 11 810
ANFIS Models for Dynamic Load Balancing in 3GPP LTE (Paperback): Matthew K. Luka, Aderemi A. Atayero

ANFIS Models for Dynamic Load Balancing in 3GPP LTE (Paperback)

Matthew K. Luka, Aderemi A. Atayero

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Loot Price R1,181 Discovery Miles 11 810 | Repayment Terms: R108 pm x 12*

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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

General

Imprint: Lap Lambert Academic Publishing
Country of origin: Germany
Release date: July 2012
First published: July 2012
Authors: Matthew K. Luka • Aderemi A. Atayero
Dimensions: 229 x 152 x 6mm (L x W x T)
Format: Paperback - Trade
Pages: 104
ISBN-13: 978-3-659-19288-3
Categories: Books > Computing & IT > General theory of computing > General
LSN: 3-659-19288-0
Barcode: 9783659192883

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