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In this paper, we consider a cross-layer design of dynamic spectrum access in distributive cognitive radio (CR) networks. We model the licensed channel as a finite-state Markov channel (FSMC) and the CR user selects one channel to access and decides transmission rate and power in order to maximize its energy efficiency. We propose a game theoretic framework to formulate this problem and apply a learning...
This paper investigates the joint power control and transmit beamforming problem in multiuser cognitive radio systems (CR). Comparing to the conventional downlink transmit problems, joint power management and beamforming schemes in CR systems is more complicated because designers must take the interference to primary users (PUs) into consideration. Assuming perfect channel information to both CR users...
Cognitive radio (CR) is proposed as a promising solution to resolve the spectrum resource scarcity. The premise to implement CR is not to introduce harmful interference to the licensed users (LU). This constraint makes interference estimation becoming very important. In this paper, we perform a quantitative analysis of theaggregation interference at the LU's receiver. We develop two multi-cell models...
In this paper, in order to improve the sensing performance which can be severely degraded when the sensing observations are forwarded to fusion center through fading channels, we apply the clustering method into cooperative spectrum sensing by forming all the secondary users into a few clusters and selecting the most favorable user in each cluster to report sensing results to the data fusion center...
In this paper, based on distributed Cognitive Radio Networks, we have investigated the problem of intermittent connectivity in routing for either per link propagation time guarantee or global spectrum utilization, after efficiently analyzing broadcast TV system channel-usage model, we develop a novel collaborative strategy for spectrum and route selection. The main protocol mechanisms include routing...
This paper firstly analyzes the impact which clustering and non-clustering structure is on sensing spectrum expenditure. Furthermore, the reason that clustering structure is adopted in hierarchical spectrum sharing network is also illustrated by numerical simulation. Secondly, a clustering algorithm, which can reduce detection expenditure, is proposed based on the similarity of the spectrum in such...
In this work, we formulate the potential game model of joint channel selection and power allocation. First, under the interference constraint, a nonlinear optimization problem is formulated for improving the total throughput and considering the fairness in cognitive radio network. we also define the special objective function for each transmitting node and formulate a potential game to solve this...
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