Title :
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
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;
Conference_Titel :
Microwaves, Communications, Antennas and Electronics Systems (COMCAS), 2013 IEEE International Conference on
Conference_Location :
Tel Aviv
DOI :
10.1109/COMCAS.2013.6685226