The advancement of technology has enabled a great increase in the number of users and the amount of information to be transmitted. In recent years, the demand for high download rates, massive connection, low latencies, and energy efficiency has increased, mainly due the popularization of IoT devices and the introduction of industry 4.0. This has le...
The main objective of the thesis is to devise a reliable non-cooperative spectrum sensing system that is able to detect noise-like signals. We harness the strength of cepstral analysis to develop a system able to detect spread spectrum signals. We have proposed the autocepstrum approach to detect noise-like signals. The proposed techniques showed r...
The favorable projection towards the satellite segment could be sustained especially today, since the demand for the rising new services has increased considerably. This is justified by the unique satellite characteristics such as multicast and broadcasting capabilities, mobility aspects and global reach, besides the ability to cover and connect re...
Different priorities of users’ access are defined in cognitive radio networks (CRNs) in order to differentiate the spectrum usage: primary user (PU) preferentially occupies the band, whereas secondary users (SUs) can only have access to the band if PU is available. Firstly, PU activities are optimized to improve the energy efficiency (EE). Too much...
Today, wireless devices generally feature multiple radio access technologies (LTE, WiFi, WiMax, ...) to handle a rich variety of standards or technologies. These devices should be intelligent and autonomous enough in order to either reach a given level of performance or automatically select the best available wireless standard. On the hardware side...
This work deals with the topic of radiofrequency receivers based on Compressive Sampling for feature extraction in Cognitive Radio.Compressive Sampling is a paradigm shift in analog to digital conversion that bypasses the Nyquist sampling frequency.In this work, estimations are carried out directly on the compressed samples due to the prohibitive c...
This work deals with the topic of radiofrequency receivers based on Compressive Sampling for feature extraction in Cognitive Radio.Compressive Sampling is a paradigm shift in analog to digital conversion that bypasses the Nyquist sampling frequency.In this work, estimations are carried out directly on the compressed samples due to the prohibitive c...
Cognitive multiple-input multiple-output (MIMO) relaying inherits the spectrum usage efficiency from both cognitive radio and MIMO relay systems, thereby bearing promising gains in terms of data rate and reliability for future wireless and mobile communications. In this dissertation, we design and evaluate practical transmitter and receiver schemes...
Over the past decade, the spectrum has faced many problems such as limitation and interference. Thus, cognitive radio is seen as a new approach to improve the efficient use of the existing wireless spectrum between the so-called "primary" user who has a license on unoccupied frequency bands and another called "secondary" Which will be able to acces...
Les travaux de cette thèse reposent sur l’étude, la conception, l’optimisation, et la réalisation des structures RF large-bandes et reconfigurables pour les applications de la Radio Cognitive (RC). La RC est un système intelligent ayant la capacité de détecter et reconnaitre son environnement de fonctionnement, ce qui lui permet d’ajuster ses param...
