Management and control of the access network segment of future mobile communications systems by means of neural networks

Sarantinopoulos, C; Karagiannis, D; Peppas, K; Demesticha, V; Demestichas, P; Theologu, E

dc.contributor.author	Sarantinopoulos, C	en
dc.contributor.author	Karagiannis, D	en
dc.contributor.author	Peppas, K	en
dc.contributor.author	Demesticha, V	en
dc.contributor.author	Demestichas, P	en
dc.contributor.author	Theologu, E	en
dc.date.accessioned	2014-03-01T02:48:58Z
dc.date.available	2014-03-01T02:48:58Z
dc.date.issued	2000	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34180
dc.subject	Access Network	en
dc.subject	Communication System	en
dc.subject	Interconnection Network	en
dc.subject	Mobile Communication System	en
dc.subject	Mobility Pattern	en
dc.subject	Quality of Service	en
dc.subject	Satisfiability	en
dc.subject	Base Transceiver Station	en
dc.subject	Neural Network	en
dc.title	Management and control of the access network segment of future mobile communications systems by means of neural networks	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/MELCON.2000.880427	en
heal.identifier.secondary	http://dx.doi.org/10.1109/MELCON.2000.880427	en
heal.publicationDate	2000	en
heal.abstract	An important issue in future cellular communication systems is the design of the interconnecting network of their access segment and the best distribution of the systems' capacity in order to provide the predefined quality of service (QoS). In this context the following topic arises; to find the minimum-cost configuration of cell site switches (CSSs) given the base transceiver station (BTS)	en
heal.journalName	MELECON - IEEE Mediterranean Electrotechnical Conference	en
dc.identifier.doi	10.1109/MELCON.2000.880427	en