Active Learning; Probabilistic Bisection Algorithm; Modulation and Coding Classification
Résumé :
[en] In this paper, an intelligent probing method for
interference constraint learning is proposed to allow a centralized
Cognitive Radio Network (CRN) to access the frequency band of
a Primary User (PU) operating based on an Adaptive Coding
and Modulation (ACM) protocol. The main idea is that the CRN
probes the PU and subsequently applies a Modulation and Coding
Classification (MCC) technique to acquire the Modulation and
Coding scheme (MCS) of the PU. This feedback is an implicit
channel state information (CSI) of the PU link, indicating how
harmful the probing induced interference is. The intelligence of
this sequential probing process lies on the selection of the power
levels of the Secondary Users (SUs) which aims to minimize the
number of probing attempts, a clearly Active Learning (AL)
procedure, and consequently the overall PU QoS degradation.
The enhancement introduced in this work is that we incorporate
the probability of each feedback being correct into this intelligent
probing mechanism by using a univariate Bayesian Nonparametric
AL method, the Probabilistic Bisection Algorithm (PBA). An
adaptation of the PBA is implemented for higher dimensions
and its effectiveness as an uncertainty driven AL method is
demonstrated through numerical simulations.
Disciplines :
Ingénierie électrique & électronique
Auteur, co-auteur :
TSAKMALIS, Anestis ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
CHATZINOTAS, Symeon ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
OTTERSTEN, Björn ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
Active Interference Constraint Learning with Uncertain Feedback for Cognitive Radio Networks
Date de publication/diffusion :
2016
Nom de la manifestation :
IEEE International Conference on Communications (ICC) 2016
Date de la manifestation :
from 23-5-2016 to 27-5-2016
Titre de l'ouvrage principal :
Proceedings of IEEE International Conference on Communications (ICC) 2016
Peer reviewed :
Peer reviewed
Projet FnR :
FNR5785257 - Spectrum Management And Interference Mitigation In Cognitive Radio Satellite Networks, 2013 (01/04/2014-31/03/2017) - Bjorn Ottersten
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