Please use this identifier to cite or link to this item:
Scopus Web of Science® Altmetric
Type: Conference paper
Title: Performance of adaptive RAT selection algorithms in 5G heterogeneous wireless networks
Author: Nguyen, D.
Nguyen, H.
White, L.
Citation: Proceedings of the 26th International Telecommunication Networks and Applications Conference (ITNAC 2016), 2016 / pp.1-6
Publisher: IEEE
Publisher Place: Piscataway, NJ
Issue Date: 2016
Series/Report no.: Proceedings. IEEE International Telecommunication Networks and Applications Conference (ITNAC)
ISBN: 9781509009190
ISSN: 2474-154X
Conference Name: IEEE International Telecommunication Networks and Applications Conference (ITNAC) (07 Dec 2016 - 09 Dec 2016 : Dunedin, New Zealand)
Statement of
Duong D. Nguyen, Hung X. Nguyen, Langford B. White
Abstract: Radio access technology (RAT) selection has recently received much attention from the research community due to the increasing deployment of heterogeneous wireless networks. Most prior works mainly focus on proposing an efficient algorithm that yields good performances, and evaluate their solutions on a certain network model, particularly in cases when every user can connect to all the available base stations (BSs). In this paper, we evaluate the impact of different aspects of network models, including (i) network topology and (ii) bandwidth allocation, on the performance of RAT selection algorithms to fully understand their limitations. Using simulations on realistic network models, this paper evaluates how different network parameters such as link density, user density or bandwidth distribution can lead to significant differences in algorithm performance. The paper demonstrates that among all the parameters, the performance of adaptive RAT selection algorithms are most significantly effected by the number of base stations that a user can connect to.
Rights: ©2016 IEEE
RMID: 0030059243
DOI: 10.1109/ATNAC.2016.7878785
Grant ID:
Published version:
Appears in Collections:Electrical and Electronic Engineering publications

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.