New methods for processing GSM radio measurement data: applications for locating, handover, and network management

Author

Junius, Martin ; Kennemann, Olrik

Author_Institution

Commun. Networks, Aachen Univ. of Technol., Germany

fYear

1994

fDate

8-10 Jun 1994

Firstpage

338

Abstract

The GSM system provides measurement data about the radio propagation situation that is used for power control and handover decisions. Currently implemented algorithms use averages of the measurement data and comparison with thresholds for these decisions. As the variations of the measured receive levels are characteristic for the route the mobile station is travelling on, pattern recognition is proposed to determine the position of the mobile station and for handover control. Two approaches are presented-one based on neuro-fuzzy methods and the other based on hidden Markov models-and it is shown that patterns are sufficiently characteristic for the proposed application

Keywords

cellular radio; fuzzy neural nets; hidden Markov models; land mobile radio; pattern recognition; power control; radiotelephony; radiowave propagation; telecommunication computing; telecommunication control; telecommunication network management; GSM radio measurement data; algorithms; handover control; hidden Markov models; measured receive levels; mobile station; network management; neuro-fuzzy methods; pattern recognition; position determination; power control; radio propagation; Base stations; Current measurement; GSM; Pattern recognition; Power control; Power measurement; Radio propagation; Radio spectrum management; Resource management; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 1994 IEEE 44th

Conference_Location

Stockholm

ISSN

1090-3038

Print_ISBN

0-7803-1927-3

Type

conf

DOI

10.1109/VETEC.1994.345108

Filename

345108