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Transmit beamforming is one of the promising ways of accessing spectrum in an underlay cognitive radio network (CRN). In this paper, a robust cooperative transmit beamforming scheme is proposed for a mobile (or stationary) secondary receiver in a CRN where steering vector available at the distributed transmitters is error prone. The solution to the beamforming problem is based on stochastic optimization...
A robust transmit beamforming scheme is proposed for green cognitive radio networks in presence of incorrect steering vector estimations. The beamformer is designed using a stochastic optimization approach. The proposed beamforming scheme achieves three objectives: a) Probability for large-than-a-threshold for secondary user's received power in the steering direction is maximized; b) Probabilities...
Prognostics refers to the estimation of remaining useful life (RUL) of components of a system after a fault has been identified. Online prognostics indicates the estimation of RUL every time a new health data is provided to the user. In this paper, an artificial neural network (ANN) based approach is proposed for designing a prognostic system for aircraft turbine engine. A trained ANN is developed...
This paper proposes a robust beamforming scheme under steering vector uncertainty for cognitive radio based vehicular communication. The service probability of secondary users (SU) is maximized, the SU's transmission power is uniform within the target mobility range, and the probability of interference level to primary users (PU) is constrained. Simulation results show significant BER improvement...
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