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This paper proposes the application of a quantum inspired reinforcement learning technique for spectrum assignment of wireless communication networks. The proposed technique aims to enhance the speed of learning convergence through the dependence of the decision process on a well ranked action desirability table which is updated based on the success or failure of an action. In addition, the exploration...
The decentralized Cognitive Radio Medium Access Control (CR MAC) protocols proposed so far are usually evaluated considering homogeneous sensing conditions where all Secondary Users (SUs) share the same view of the channel. By doing so, realistic heterogeneous channel sensing conditions are neglected, which happens due to different spectrum sensing errors and/or different patterns of channel occupation...
In cognitive Radio, Energy Detection(ED) is the easiest method to detect idle spectrum due to the simple implementation. However, it is difficult to identify the transmitter when several systems are sharing the spectrum in the same time. In order to improve the spectrum utilization, the spectrum shared by the secondary users may be detected as idle spectrum with keeping the detection performance of...
In wideband spectrum sensing, secondary or unlicensed users take signal measurements over a given wide spectrum band and attempt to determine subbands for which the spectrum is idle and thus available for use. Some recent approaches to finding such spectrum holes generally employ some form of edge detection or energy detection. We propose an algorithm for joint time-frequency wideband spectrum sensing...
This paper investigates the interactions between a secondary user (SU) with frequency hopping and a jammer with spectrum sensing in heterogenous cognitive radio networks. The power control interactions are formulated as a multi-stage anti-jamming game, in which the SU and jammer repeatedly choose their power allocation strategies over multiple channels simultaneously without interfering with primary...
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