Access network segment design process in future mobile communications systems

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dc.contributor.author Demestichas, PP en
dc.contributor.author Tzifa, EC en
dc.contributor.author Demesticha, VP en
dc.contributor.author Anagnostou, ME en
dc.contributor.author Theologou, ME en
dc.date.accessioned 2014-03-01T02:41:31Z
dc.date.available 2014-03-01T02:41:31Z
dc.date.issued 1998 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/30507
dc.subject Access Network en
dc.subject Design Process en
dc.subject Mobile Communication System en
dc.subject Satisfiability en
dc.subject Software Tool en
dc.subject Spectrum en
dc.subject Base Transceiver Station en
dc.subject.other Computer aided software engineering en
dc.subject.other Congestion control (communication) en
dc.subject.other Constraint theory en
dc.subject.other Heuristic methods en
dc.subject.other Radio links en
dc.subject.other Transceivers en
dc.subject.other Access network en
dc.subject.other Base transceiver site switches en
dc.subject.other Base transceiver stations en
dc.subject.other Local exchanges en
dc.subject.other Radio link management en
dc.subject.other Cellular radio systems en
dc.title Access network segment design process in future mobile communications systems en
heal.type conferenceItem en
heal.identifier.primary 10.1109/MELCON.1998.699309 en
heal.identifier.secondary http://dx.doi.org/10.1109/MELCON.1998.699309 en
heal.publicationDate 1998 en
heal.abstract An important component of future mobile communications systems is their access network segment that enables interworking between the mobile unit and the fixed network. In the context of the access network segment design process a series of very important problems arises. First, the efficient utilisation of the available radio spectrum. Second, the grouping of cells into location and paging areas. Third, given the BTS layout, the derivation of the minimum cost interconnections of BTSs to CSSs, and subsequently, of CSSs to LEs, that satisfy a set of performance constraints. Our aim in this paper is firstly, to formally define these problems. Second, we propose optimal formulations and finally a general description of computationally efficient heuristic solutions that are being integrated in a pertinent software tool. en
heal.publisher IEEE, Piscataway, NJ, United States en
heal.journalName Proceedings of the Mediterranean Electrotechnical Conference - MELECON en
dc.identifier.doi 10.1109/MELCON.1998.699309 en
dc.identifier.volume 2 en
dc.identifier.spage 716 en
dc.identifier.epage 720 en

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