| dc.creator |
YİĞİT, Tuncay |
|
| dc.creator |
ERSOY, Mevlüt |
|
| dc.date |
2016-12-31T21:00:00Z |
|
| dc.date.accessioned |
2020-10-06T11:50:34Z |
|
| dc.date.available |
2020-10-06T11:50:34Z |
|
| dc.identifier |
f1372665-5291-4172-ac19-9d67ac69d006 |
|
| dc.identifier |
10.1063/1.4992413 |
|
| dc.identifier |
https://avesis.sdu.edu.tr/publication/details/f1372665-5291-4172-ac19-9d67ac69d006/oai |
|
| dc.identifier.uri |
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/75882 |
|
| dc.description |
LTE is the 4th generation wireless network technology, which provides flexible bandwidth, higher data speeds and lower delay. Difficulties may be experienced upon an increase in the number of users in LTE. The objective of this study is to ensure a faster solution to any such resource allocation problems which might arise upon an increase in the number of users. A fast and effective solution has been obtained by making use of Artificial Neural Network. As a result, fast working artificial intelligence methods may be used in resource allocation problems during operation. |
|
| dc.language |
eng |
|
| dc.rights |
info:eu-repo/semantics/closedAccess |
|
| dc.title |
Resource Allocation using ANN in LTE |
|
| dc.type |
info:eu-repo/semantics/conferenceObject |
|