A3 Book section, chapters in research books

5G Cognitive Wireless Mesh Network Without Common Control Channel


LUT Authors / Editors

Publication Details
Authors: Carrillo D., Takaki R., Lira Figueiredo F., Mathilde F.
Editors of book: Paradisi, A.; Godoy Souza Mello, A., Lira Figueiredo, F.; Carvalho Figueiredo, R.
Publication year: 2017
Language: English
Title of parent publication: Cognitive Technologies
ISBN: 978-3-319-53752-8
eISBN: 978-3-319-53753-5
JUFO-Level of this publication: 2
Open Access: Not an Open Access publication

Abstract

Collaborative cognitive mesh networks (CCMN) are a potential technology to be adopted in next-generation wireless networks, as it meets key requirements of 5G application scenarios, such as high flexibility and efficient spectrum usage. CCMN is composed of regular cognitive mechanisms and components, such as energy detection-based sensing, and has the ability to switch the data channel to take advantage of any available channels on a given spectrum band. Several cognitive mesh network architectures employ a common control channel (CCC) to perform dynamic channel allocation. Therefore, the multichannel–single interface manager (MC-SIM) algorithm aims to maximize channel usage with a system that does not depend on any CCC. The MC-SIM algorithm was tested in a real scenario and results showed enhanced throughput levels that are 29.5% greater.


Last updated on 2019-22-01 at 10:52