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In this paper, we investigate the optimal power allocation strategy in a cognitive radio-based machine-to-machine (M2M) network where a licensed primary user and multiple unlicensed M2M devices coexist and operate in the same licensed spectrum. We develop a connectivity establishment mechanism in M2M network based on the cognitive radio scheme and propose an optimal power allocation scheme which achieves...
This letter addresses the problem of spectrum sensing over fading channel, in which a licensee and multiple unlicensed users coexist and operate in the licensed channel in a local area. We derive the overall average probabilities of detection and false alarm by jointly taking the fading and the location of SUs into account and employing the energy detection as the underlying detection scheme. Furthermore,...
This paper addresses the problem of joint optimization of subchannel selection and spectrum sensing time for multiband cognitive radio networks. In particular, we construct a multiband spectrum sensing framework, and derive the probabilities of detection and false alarm taking the different subchannel gain into account. Furthermore, we formulate the multiband sensing as a two-parameter optimization...
Spectrum sensing is one of the most important technologies for cognitive radio. In order to decrease the effect of low SNR, and increase the reliability spectrum sensing performance, we propose a novel spectrum sensing approach, which collects the distributed collaborative beamforming signals as the test statistic to input the energy detector. In particular, the collaborative beamforming method can...
In this paper, we propose an efficient power allocation scheme that aims at maximizing the system throughput in joint spectrum overlay and underlay cognitive radio network. We show that our proposed scheme enlarges the achievable throughput region comparing to the overlay strategy, and causes less interference than the underlay strategy. In addition, since the unlicensed users adopting the overlay...
In this paper, we propose a power control algorithm using game theory for cognitive radio networks. A novel framework is presented to meet different SIR constrains which can guarantee the cognitive radio user's QoS requirement. We define a cost function which can effectively control the network power consumption. With the given cost function, the second user can achieve a better performance related...
In this paper, we investigate the optimal power allocation strategy in the joint spectrum overlay and underlay cognitive radio network where a licensee and multiple unlicensed users coexist and operate in the same spectrum. We propose an optimal power allocation scheme which achieves the maximum system utility while satisfying the QoS requirement of SUs and interference constrains of the PU. Particularly,...
In practical cognitive radio networks, the topology is constantly changing since the primary and secondary users join and leave the network at any moment. So it is very important to design a distributed spectrum offering scheme that can coordinate the spectrum offering scheme adapt to dynamic topology with only local information. In this paper, we propose a game-based distributed spectrum offering...
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