Online learning with randomized feedback graphs for optimal PUE attacks in cognitive radio networks
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
Standard
in: IEEE ACM transactions on networking, Jahrgang 26, Nr. 5, 8466108, 01.10.2018, S. 2268-2281.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
Harvard
APA
Vancouver
Author
Bibtex - Download
}
RIS (suitable for import to EndNote) - Download
TY - JOUR
T1 - Online learning with randomized feedback graphs for optimal PUE attacks in cognitive radio networks
AU - Dabaghchian, Monireh
AU - Alipour-Fanid, Amir
AU - Zeng, Kai
AU - Wang, Qingsi
AU - Auer, Peter
PY - 2018/10/1
Y1 - 2018/10/1
KW - cognitive radio networks
KW - feedback graphs
KW - multi-armed-bandits
KW - Online learning
KW - PUE attacks
UR - http://www.scopus.com/inward/record.url?scp=85053351373&partnerID=8YFLogxK
U2 - 10.1109/TNET.2018.2868166
DO - 10.1109/TNET.2018.2868166
M3 - Article
AN - SCOPUS:85053351373
VL - 26
SP - 2268
EP - 2281
JO - IEEE ACM transactions on networking
JF - IEEE ACM transactions on networking
SN - 1063-6692
IS - 5
M1 - 8466108
ER -