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In this paper, an optimization framework is proposed for joint transceiverbeamforming and admission control in massive MIMO cognitive radio networks. Theobjective of the optimization problem is to support maximum number of secondaryusers in downlink transmission with constraints on the total power allocated tousers, the rate achieved at secondary users and the interference at the primarynodes. The proposed framework takes into account the imperfect knowledge of thechannels between the secondary and the primary nodes and also mitigates theinterference caused by the primary users at secondary receivers. In order tosolve the underlying NP-hard problem, we propose a three-step algorithm withtwo alternative schemes for power allocation, namely: equal power and equalrate. In addition, we provide a solution by reducing the problem to an IntegerLinear Program (ILP). The performances of equal rate, equal power, and ILPmethods are studied in under different constraints.

Downlink transceiver beamforming and admission control for massive MIMO cognitive radio networks