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This paper investigates joint relay selection (RS) and power allocation (PA) in cognitive radio (CR) systems, in which relay nodes operate in amplify-and-forward (AF) mode. In contrast to the conventional schemes, we take into account the performance of the secondary user (SU) which acts as the relay. A two-step optimization scheme is proposed to maximize system throughput with minimum rate guarantees...
In this paper, we address the issue of power allocation in a relay-based cognitive radio network. The power allocation approach analyzed here maximizes the system throughput while maintaining interference to a tolerable limit. We modify the approach to achieve a higher convergence rate. Later we further propose a near optimal power allocation approach that significantly lowers the computational complexity...
In this paper, we present a low-complexity power allocation scheme for non-regenerative (amplify and forward) relaying in cognitive radio systems. The main objective of the power allocation is to maximize the signal to noise ratio (SNR) at the destination under the constraint of acceptable interference to the primary users (PU). In this paper, we propose an iterative power allocation using SNR upper...
This paper addresses power allocation between channels in a cognitive radio system, and uses insights from information theory to compare the total capacity available using a fully distributed power allocation scheme with an optimum scheme based on perfect knowledge of all links. First the equations for optimum allocation are obtained, leading to an extension of the water-filling power allocation,...
In the cognitive networks, one of the major concerns is the fact that cognitive users may cause harmful interference to licensed users. And the fairness of resource allocation is another important problem in this network. This paper focuses on a joint channel and power allocation algorithm that can both protect licensed users and guarantee the fairness of spectrum sharing among cognitive users. This...
This paper addresses power allocation between channels in a cognitive radio system, and uses insights from information theory to compare the total capacity available using a fully distributed power allocation scheme with an optimum scheme based on perfect knowledge of all links. First the equations for optimum allocation are obtained, leading to an extension of the water-filling power allocation,...
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