The authors study robustbeamforming and power allocation in cognitive relay networks using several relays in the secondary link. The channel state information is imperfect modelled by Gaussian random variables. First...
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The authors study robustbeamforming and power allocation in cognitive relay networks using several relays in the secondary link. The channel state information is imperfect modelled by Gaussian random variables. First, minimisation of the total transmit power of relays and the secondary transmitter is considered with a constraint on the interference in the primary receiver. Also, a constraint is assumed on the received signal-to-interference plus noise ratio (SINR) in the secondary receiver. In the other scenario, maximisation of the SINR in the secondary receiver is investigated with a limit on the maximum transmit power of relays and the secondary transmitter. For each non-convex optimisation problem, an iterative and robustalgorithm is derived. It is proved that the first proposed algorithm converges to the global optimum. Simulation results similarly show the convergence of both algorithms with a few number of iterations. The outperformance of the robustalgorithms is shown compared with a non-robust design.
The authors focus on robustbeamforming design for multiple-input multiple-output (MIMO) interference channels with imperfect channel state information (CSI) which is described as a bounded CSI error model. With all t...
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The authors focus on robustbeamforming design for multiple-input multiple-output (MIMO) interference channels with imperfect channel state information (CSI) which is described as a bounded CSI error model. With all transmissions restricted to single data stream, the problem of maximising the minimum signal-to-inference-plus-noise ratio (SINR) subject to individual power constraint at each transmitter is considered as the max-min fairness transceiver design. Specifically, the authors propose a robust beamforming algorithm named as block diagonalisation assisted (BDA) approach for solving the max-min problem. First, block diagonalisation precoding is applied to simplify the original max-min SINR problem. Then, an iterative algorithm is proposed with alternating process to solve the simplified problem, and the convergence behaviour and computational complexity are analysed. Simulation results show the convergence of the BDA algorithm and demonstrate the robustness of the proposed transceiver design through the bit error rate and the minimum SINR.
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