Contribution to learning and decision making under uncertainty for Cognitive Radio.

W Jouini - 2012 - theses.hal.science
During the last century, most of the meaningful frequency bands were licensed to emerging
wireless applications. Because of the static model of frequency allocation, the growing …

Sensing and probing cardinalities for active cognitive radios

T Van Nguyen, H Shin, TQS Quek… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
In a cognitive radio network, opportunistic spectrum access (OSA) to the underutilized
spectrum involves not only sensing the spectrum occupancy but also probing the channel …

Spectrum sensing and access in cognitive radio networks

R Zheng, C Hua, R Zheng, C Hua - Sequential Learning and Decision …, 2016 - Springer
With tremendous growth in wireless services, the demand for radio spectrum has
significantly increased. However, spectrum resources are scarce and most of them have …

Enabling opportunistic and dynamic spectrum access through learning techniques

O Alsaleh, P Venkatraman… - … and Mobile Computing, 2011 - Wiley Online Library
The expected shortage in spectrum supply is well understood to be primarily due to the
inefficient, static nature of current spectrum allocation policies. In order to address this …

Distributed competitive decision making using multi-armed bandit algorithms

M Almasri, A Mansour, C Moy, A Assoum… - Wireless Personal …, 2021 - Springer
This paper tackles the problem of Opportunistic Spectrum Access (OSA) in the Cognitive
Radio (CR). The main challenge of a Secondary User (SU) in OSA is to learn the availability …

QoS driven channel selection algorithm for cognitive radio network: Multi-user multi-armed bandit approach

N Modi, P Mary, C Moy - IEEE Transactions on Cognitive …, 2017 - ieeexplore.ieee.org
In this paper, we deal with the problem of opportunistic spectrum access in infrastructure-
less cognitive networks. Each secondary user (SU) Tx is allowed to select one frequency …

Optimizing channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach

L Jiao, X Zhang, BJ Oommen, OC Granmo - Applied Intelligence, 2016 - Springer
Consider a multi-channel Cognitive Radio Network (CRN) with multiple Primary Users
(PUs), and multiple Secondary Users (SUs) competing for access to the channels. In this …

Cognitive radio algorithms coexisting in a network: Performance and parameter sensitivity

A Hess, F Malandrino, NJ Kaminski… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
This paper studies the performance of cognitive radios in a scenario where different pairs of
radios adopt different cognition/decision making approaches. We want to assess: 1) if there …

Opportunistic exploitation of bandwidth resources through reinforcement learning

B Hamdaoui, P Venkatraman… - GLOBECOM 2009-2009 …, 2009 - ieeexplore.ieee.org
The enormous success of wireless technology has recently led to an explosive demand for,
and hence a shortage of, bandwidth resources. This expected shortage problem is reported …

Adaptive spectrum assessment for opportunistic access in cognitive radio networks

B Hamdaoui - IEEE Transactions on Wireless Communications, 2009 - ieeexplore.ieee.org
Studies showed that the static nature of the traditional spectrum allocation methods,
currently being used to share the radio spectrum, resulted in a plenty of unused spectrum …