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Designing a trust establishment method for cooperative transmission is not an easy task.
Non-parametric belief propagation (NBP) is a well-known message passing method for cooperative localization in wireless networks.
Non-parametric belief propagation (NBP), proposed by Ihler et al. [11, 12], is a well-known particle-based message passing method for cooperative localization in wireless networks.
In the second approach, an existing iterative method for cooperative beamforming of multi-group multicasting (MGM) relay networks is extended to solve our problem.
Moreover, we study a method based on outer approximation (OA) to solve the positioning problem for positive measurement errors and propose a new OA method for cooperative networks positioning.
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In [14], equalization methods for cooperative diversity schemes over frequency-selective channels have been investigated.
Power allocation methods for cooperative relay channel have been considered in [7, 8].
Nonparametric belief propagation (NBP) is one of the best-known methods for cooperative localization in sensor networks.
Most of the state-of-the-art methods for cooperative localization estimate the point estimate of the sensor positions by applying classical least squares, multidimensional scaling, multilateration, or other optimization methods.
In this paper, we studied fully opportunistic relay selection as a method for reaching cooperative diversity.
In this paper, a method for structuring cooperative activities in order to improve its global performance is proposed.
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