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

Luka, Matthew K.; Atayero, Aderemi A.

Brossura

ISBN 10: 3659192880 ISBN 13: 9783659192883

Casa editrice: LAP LAMBERT Academic Publishing, 2012

Riassunto

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

Su questo libro

L'autore

M.K. Luka received his B.Eng. in Electrical and Electronics Engineering from Federal University of Technology Yola in 2009, and an M.Eng. (ICT) from the Department of Electrical and Information Engineering, Covenant University in 2012. His research interests are in Mobile communication networks, satellite communications and Soft computing

Dettagli dell'edizione

• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 3659192880
• ISBN 13: 9783659192883
• Rilegatura: Copertina flessibile
• Numero di pagine: 104
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile