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Cognitive Radio (CR), which is proposed to be a candidate technology for 5G wireless communications, has to continuously perform the task of monitoring spectrum holes over a wide range of licensed frequencies. Scanning through a wide band spectrum, particularly in the GHz range, poses challenges, especially for the Analog-To-Digital Converters that belongs to the front end of the CR receivers. Compressive...
The high peak to average power ratio (PAPR) and large spectrum sidelobe power are the two major limitations at the transmitter side of the NC-OFDM based Cognitive Radio (CR) system, which may significantly reduce the power efficiency and performance of the system. There are many techniques in the literature to reduce high PAPR and large spectrum sidelobe power. In this paper, we present a new optimization...
A price based spectrum sharing scheme is considered where a primary user allows certain secondary users to access its unused licensed band opportunistically or with coexistence. While in coexistence, network of multiple users, competing for the same idle spectrum, ends up causing intolerable interferences to the primary receiver. Since PU is of prior importance, any kind of interruption to its transmission...
Cognitive Radio (CR) is a promising technology to alleviate spectrum scarcity problem. CR enables a technique called spectrum leasing where the secondary users able to access licensed spectrum bands opportunistically by making monetary payment. A three phase spectrum leasing scheme is considered where primary user allows users in a distributed secondary network to access its licensed band either in...
Spectrum sensing is one of the most crucial tasks a cognitive radio has to carry out in order to decide whether a licensed spectrum can be used without causing interference to the licensed or the Primary Users (PU). Many techniques exist in the literature for satisfactory detection performance. However, in many cases, an additive white Gaussian noise is assumed, which is an oversimplified assumption...
This paper presents a method for induction motor fault diagnosis based on rotor current signal analysis using Support Vector Machine. A dynamic model of induction motor developed using SIMULINK/MATLAB environment is used for simulation testing. A rotor fault is incorporated into the developed dynamic model which is mathematically complaint. The simulated model gives rotor currents, the multi-resolution...
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