Fuzzy Logic Controllers for Traffic Sharing in Enterprise LTE Femtocells

Author

Ruiz-Avilés, J.M. ; Luna-Ramírez, S. ; Toril, M. ; Ruiz, F.

Author_Institution

Commun. Eng. Dept., Univ. of Malaga, Malaga, Spain

fYear

2012

fDate

6-9 May 2012

Firstpage

1

Lastpage

5

Abstract

In cellular networks, traffic demand is unevenly distributed both in time and space. This paper investigates the problem of re-distributing traffic demand between Long-Term Evolution (LTE) femtocells in an enterprise scenario. Several traffic sharing algorithms based on automatic tuning of femtocell parameters are considered. The proposed algorithms are implemented by fuzzy logic controllers. Performance assessment is carried out in a dynamic system-level simulator. Results show that tuning handover margins and transmit power can be an effective means to solve localized congestion problems in these scenarios.

Keywords

Long Term Evolution; femtocellular radio; fuzzy control; telecommunication congestion control; telecommunication traffic; Long-Term Evolution; automatic tuning; cellular network; dynamic system-level simulator; enterprise LTE femtocell; femtocell parameter; fuzzy logic controller; handover margin tuning; localized congestion problem; traffic demand; traffic sharing; transmit power; Conferences; Femtocells; Fuzzy logic; Interference; Optimization; Signal to noise ratio; Tuning;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference (VTC Spring), 2012 IEEE 75th

Conference_Location

Yokohama

ISSN

1550-2252

Print_ISBN

978-1-4673-0989-9

Electronic_ISBN

1550-2252

Type

conf

DOI

10.1109/VETECS.2012.6239973

Filename

6239973