|
Title:
|
USING SYMBOLIC LINEAR REGRESSION FOR 4G NETWORK SELECTION |
|
Author(s):
|
Obionor Nobrega , Marco A. O. Domingues , Renata M.c.r. De Souza , Paulo R. F. Cunha |
|
ISBN:
|
978-972-8924-93-5 |
|
Editors:
|
Pedro Isaías, Bebo White and Miguel Baptista Nunes |
|
Year:
|
2009 |
|
Edition:
|
2 |
|
Keywords:
|
Network selection, Symbolic Linear Regression, 4G. |
|
Type:
|
Short Paper |
|
First Page:
|
284 |
|
Last Page:
|
288 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
The mobility model in next generation of wireless network(4G) has become a very hot topic. To address the issue,
various protocols have been developed to meet the user´s demand of mobile Internet application. These heterogeneous
network environments need to adapt for users that require a specific quality of service, especially for real-time and
multimedia applications. In this paper we describe a new model of network selection using symbolic linear regression. |
|
|
|
|
|
|
