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 …

In the Internet of Things (IoT) context such as low power wide area network (LPWAN), it is
essential to reduce the packet losses, eg, to save energy. Decentralized artificial intelligence …

Prior works have explored multi-armed bandit (MAB) algorithms for the selection of optimal
beams for millimeter-wave (mmW) communications between base station and mobile users …

This paper proposes a learning policy to improve the energy efficiency (EE) of
heterogeneous cellular networks. The combination of active and inactive base stations (BS) …

This manuscript addresses the problem of Opportunistic Spectrum Access (OSA) in
Cognitive Radio Networks (CRNs). In the context of CRN, two types of users may coexist …

Cette thèse étudie les techniques de gestion intelligente du spectre et de topologie des
réseaux via une approche radio intelligente dans le but d'améliorer leur capacité, leur …

In this paper, we are interested in the concept of green networking and the solutions brought
by cognitive radio technology in this field. The purpose of this work is to find a mechanism …

The main objective of this work is to improve various LPWAN functions, by exploiting the
knowledge of the propagation properties of the wireless channel. First, localization …

This demonstration presents a proof-of-concept for oppor-tunistic spectrum access in the
decentralized network consisting of multiple secondary users (SUs). SUs need to …

The activity pattern of different primary users (PUs) in the spectrum bands has a severe
effect on the ability of the multi-armed bandit (MAB) policies to exploit spectrum …