Managing and measuring performance of large femtocell networks

Author

Weitzen, Jay A. ; Wakim, Rachel

Author_Institution

ECE Dept., Univ. of Massachusetts Lowell, Chelmsford, MA, USA

fYear

2013

fDate

21-23 Oct. 2013

Firstpage

1

Lastpage

4

Abstract

Large femtocell networks with upwards of one million units must be managed differently from macro cell networks with a few tens of thousands of base stations. This paper describes a network performance system that is helping to manage several large femtocell networks. It incorporates parallel processing, rule based artificial intelligence, large scale automated data analysis, and information theoretic data mining. The next generation of automatic femtocell network management system is also discussed.

Keywords

artificial intelligence; data analysis; data mining; femtocellular radio; parallel processing; telecommunication computing; telecommunication network management; artificial intelligence; automatic femtocell network management system; base station; information theoretic data mining; large femtocell network; large scale automated data analysis; macrocell network management; parallel processing; Base stations; Data mining; Femtocell networks; Measurement; Servers; Standards; Ultrafast electronics; cellular communication; femtocells; wireless communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwaves, Communications, Antennas and Electronics Systems (COMCAS), 2013 IEEE International Conference on

Conference_Location

Tel Aviv

Type

conf

DOI

10.1109/COMCAS.2013.6685226

Filename

6685226