https://scholars.lib.ntu.edu.tw/handle/123456789/380216
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Chen, Z. | en_US |
dc.contributor.author | TSUNG-NAN LIN | en_US |
dc.date.accessioned | 2018-09-10T09:48:15Z | - |
dc.date.available | 2018-09-10T09:48:15Z | - |
dc.date.issued | 2013 | - |
dc.identifier.uri | http://www.scopus.com/inward/record.url?eid=2-s2.0-84893314244&partnerID=MN8TOARS | - |
dc.identifier.uri | http://scholars.lib.ntu.edu.tw/handle/123456789/380216 | - |
dc.description.abstract | A heterogeneous network (HetNet) contains macrocells and different small cells, such as picocells, femtocells, and relay nodes. In HetNets, small cells are used to increase network capacity. Femtocells are usually used to increase coverage range in indoor environment, and can be deployed by users arbitrary. Besides, carrier aggregation is a major improvement in Long-Term-Evolution- Advanced (LTE-Advanced), and component carriers (CCs) are the basic aggregated units which are shared among cells. Therefore, cells use the same CCs lead inter-cell interference among them. In this work, we propose a resource allocation algorithm in LTE-Advanced HetNet called "Stochastic Automata component Carrier Selection" (SACS) based on stochastic learning automata. SACS is a fully-distributed and self-optimizing algorithm, and it doesn't any information exchange among cells. SACS has some good properties:(i) energy saving, (ii) no information exchange, and (iii) low complexity. From the simulation results, SACS has fast convergent time and saves more energy than others. © 2013 IEEE. | - |
dc.language | en | en |
dc.relation.ispartof | IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC | en_US |
dc.source | AH-Scopus to ORCID | - |
dc.subject | Carrier aggregation; Energy saving; Heterogeneous networks; LTE-advanced; Stochastic learning automata | - |
dc.subject.classification | [SDGs]SDG7 | - |
dc.subject.other | Carrier aggregations; Heterogeneous Network (HetNet); Information exchanges; Intercell interference; Lte-advanced; Resource allocation algorithms; Stochastic Automata; Stochastic learning automata; 4G mobile communication systems; Algorithms; Cells; Complex networks; Energy conservation; Femtocell; Heterogeneous networks; Information dissemination; Resource allocation; Automata theory | - |
dc.title | Stochastic learning automata based resource allocation for LTE-advanced heterogeneous networks | - |
dc.type | conference paper | en |
dc.identifier.doi | 10.1109/PIMRC.2013.6666463 | - |
dc.relation.pages | 1952-1956 | - |
item.openairetype | conference paper | - |
item.openairecristype | http://purl.org/coar/resource_type/c_5794 | - |
item.fulltext | no fulltext | - |
item.grantfulltext | none | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | Electrical Engineering | - |
crisitem.author.dept | Communication Engineering | - |
crisitem.author.orcid | 0000-0001-5659-1194 | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
顯示於: | 電機工程學系 |
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