dc.contributor.author |
Tzifa, EC |
en |
dc.contributor.author |
Demestichas, PP |
en |
dc.contributor.author |
Louta, MD |
en |
dc.contributor.author |
Tsouka, ES |
en |
dc.contributor.author |
Theologou, ME |
en |
dc.contributor.author |
Anagnostou, ME |
en |
dc.date.accessioned |
2014-03-01T01:14:22Z |
|
dc.date.available |
2014-03-01T01:14:22Z |
|
dc.date.issued |
1999 |
en |
dc.identifier.issn |
0140-3664 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/13027 |
|
dc.subject |
GSM |
en |
dc.subject |
UMTS |
en |
dc.subject |
frequency allocation |
en |
dc.subject |
0-1 quadratic programming |
en |
dc.subject |
weighted matching |
en |
dc.subject |
DCA |
en |
dc.subject.classification |
Computer Science, Information Systems |
en |
dc.subject.classification |
Engineering, Electrical & Electronic |
en |
dc.subject.classification |
Telecommunications |
en |
dc.subject.other |
Algorithms |
en |
dc.subject.other |
Cellular radio systems |
en |
dc.subject.other |
Channel capacity |
en |
dc.subject.other |
Mobile telecommunication systems |
en |
dc.subject.other |
Quadratic programming |
en |
dc.subject.other |
Radio interference |
en |
dc.subject.other |
Telecommunication traffic |
en |
dc.subject.other |
Dynamic channel allocation |
en |
dc.subject.other |
Global system for mobile communications |
en |
dc.subject.other |
Universal mobile telecommunications systems |
en |
dc.subject.other |
Weighted matching |
en |
dc.subject.other |
Frequency allocation |
en |
dc.title |
Adaptive radio spectrum allocation through mid-term reconfigurations for cellular communications systems |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1016/S0140-3664(98)00252-7 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1016/S0140-3664(98)00252-7 |
en |
heal.language |
English |
en |
heal.publicationDate |
1999 |
en |
heal.abstract |
A fundamental problem in cellular communications systems is the adaptation of the frequency allocation to the traffic fluctuations. Traffic adaptation may be achieved by a computationally efficient solution to the following problem: "Given the radio spectrum available, the cell structure, the current traffic conditions, and an already established allocation of frequencies to cells, find a new optimal allocation that is more suitable for handling the current traffic conditions, taking into account the previous allocation and subject to the restrictions arising from the interference conditions". In this article, this problem is formally defined, optimally formulated and solved in a computationally efficient manner. The results provided demonstrate a significant increase in the efficiency with which the available spectrum is utilised, using as a basis for comparison legacy frequency allocation schemes. (C) 1999 Elsevier Science B.V. All rights reserved. |
en |
heal.publisher |
Elsevier Science B.V., Amsterdam, Netherlands |
en |
heal.journalName |
Computer Communications |
en |
dc.identifier.doi |
10.1016/S0140-3664(98)00252-7 |
en |
dc.identifier.isi |
ISI:000079543700005 |
en |
dc.identifier.volume |
22 |
en |
dc.identifier.issue |
4 |
en |
dc.identifier.spage |
361 |
en |
dc.identifier.epage |
375 |
en |