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Ideally, users in cognitive radio networks (CRNs) are capable of sensing and exploiting any potential transmission opportunities in the available spectrum band ranging from 30 KHz to 300 GHz. With the multiple-diverse-band spectrum, the network can provide more radio resources and capacity to a large number of CR users. However, the multiband scenario (e.g., TV band + 2/3G band + 4/5G band) also introduces...
In this paper, we address the problem of routing disruption attacks in Cognitive Radio Networks (CRNs). In routing disruption attacks, the malicious node intentionally drop data packets to consume more network resources or degrade routing performance. We propose a trust management model to mitigate such attacks in CRNs. Through monitoring forwarding behaviors of secondary users (SUs), trusts of SUs...
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...
This paper considers a network in which a primary user (PU) may cooperate with a cognitive radio (CR) user for transmission of its data packets. The PU is assumed to be a buffered terminal operating in a time-slotted fashion. We develop an energy-efficient protocol that involves cooperation and coordination between primary and secondary users. To satisfy certain quality-of-service requirements, users...
This paper presents the design and hardware implementation of two-stage lumped-element All-Pass Network for group delay engineering. It is designed for 700 MHz band that is assigned for Software Defined Radio and Cognitive Radio applications. Both positive and negative group delay variation is obtained across the band with slope +5.3 ns/GHz and −4.7 ns/GHz. The application of real-time frequency discriminator...
The green communication draws a lot of attention in recent years. Meanwhile, as a promising technology, cognitive radio will constitute an important part of the future communication networks. Energy consumption of cognitive radio network is worthy studying, which is analyzed in this paper applying stochastic network calculus. A multi-channel cognitive radio network model is introduced. Stochastic...
In cognitive radio networks, unlicensed users can use under-utilized licensed spectrum to achieve substantial performance improvement. To avoid interference with licensed users, unlicensed users must vacate the spectrum when it is accessed by licensed (primary) users. Since it takes some time for unlicensed users to switch to other available channels, the ongoing data transmissions may have to be...
In this paper, we present a novel routing algorithm for multi-channel cognitive radio networks(CRNs). Our algorithm based on smallest transmission delay, which is named as SDCR (smallest delay cognitive routing). By calculating the transmission delay of given packets on every link(let this delay as the weight of link), and then using classic Dijkstra algorithm to find the smallest transmission delay...
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