Malek Naoues

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In the Software Radio context, the parametrization is becoming an important topic especially when it comes to multi-standard designs. This paper capitalizes on the Common Operator technique to present a new common structure for the FFT and Viterbi algorithms. A key benefit of exhibiting common operators is the regular architecture it brings when implemented(More)
In the Software Radio context, the parametrization is becoming an important topic especially when it comes to multistandard designs. This paper capitalizes on the Common Operator technique to present new common structures for the FFT and FEC decoding algorithms. A key benefit of exhibiting common operators is the regular architecture it brings when(More)
In cognitive radio, the secondary users are able to sense the spectral environment and use this information to opportunistically access the licensed spectrum in the absence of the primary users. In this paper, we present an experimental study that evaluates the performance of two different spectrum sensing techniques to detect primary user signals in real(More)
The dynamic spectrum access is a concept opposite to static frequency spectrum assignment and one of the key elements of cognitive radio (CR). It allows secondary users to access unused licensed frequency bands. In order to detect the presence of primary users, one of the fundamental tasks that a CR equipment has to perform is spectrum sensing process. In(More)
This paper proposes a flexible architecture for the FFT and Viterbi algorithms based on the Common Operator (CO) technique. The FFT and Viterbi structural similarities are investigated to build a common architecture for both algorithms where area is traded against throughput. FPGA implementation and experimental results are discussed in this paper.
Spectrum sensing is a fundamental problem in cognitive radio systems. Its main objective is to reliably detect signals from licensed primary users to avoid harmful interference. As a first step toward building a large-scale cognitive radio network testbed, we propose to investigate experimentally the performance of three blind spectrum sensing algorithms.(More)
Blind equalization allows the transmitted signals to maximize their spectral efficiency, but it is limited by the convergence time of used algorithms. In this paper, the authors propose a new frequency blind equalization method for orthogonal frequency division multiplexing (OFDM), which drastically reduces the transient state delay of the algorithm’s(More)
In 5G networks, the number of connected devices, data rate and data volume per area, as well as the variety of QoS requirements, will attain unprecedented scales. The achievement of these goals will rely on new technologies and disruptive changes in network architecture and node design. Energy efficiency is believed to play a key role in complementing the(More)