@phdthesis{modi:tel-01668536,
TITLE = {Machine Learning and Statistical Decision Making for Green Radio},
AUTHOR = {Modi, Navikkumar},
URL = {https://theses.hal.science/tel-01668536},
NUMBER = {2017CSUP0002},
SCHOOL = {CentraleSup{\'e}lec},
YEAR = {2017},
MONTH = May, KEYWORDS = {Opportunistic Spectrum Access ; Cognitive Radio (CR) ; Renforcement Learning (RL) ; Green Radio ; Upper Confidence Bound (UCB) ; Quality of Service-Upper Confidence Bound (QoS-UCB) ; Multi-armed bandit (MAB) ; Acc{\`e}s opportuniste au spectre (AOS) ; Radio Cognitive (RC) ; Apprentissage par Machine (AM) ; Apprentissage par Renforcement (AR) ; Radio Verte ; Upper Confidence Bound (UCB) ; Quality of Service-Upper Confidence Bound (QoS-UCB ; Bandit Machot (BM)},
TYPE = {Theses},
PDF = {https://theses.hal.science/tel-01668536/file/MODI_Navikkumar_Modi_Thesis_VF.pdf},
HAL_ID = {tel-01668536},
HAL_VERSION = {v1},
}