This paper considers a multiple-input-multiple-output (MIMO) cognitive radio network, where secondary users (SUs) equipped with multiple antennas coexist with a primary user (PU). Joint power allocation and transmission beamforming design is proposed to optimize the network energy efficiency under power constraint and interference temperature constraint. Distributed algorithm that maximizes energy efficiency of each individual node is derived through fractional programming. Simulation results are presented to validate the convergence and effectiveness of the proposed algorithm.
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Zhang et al. (2015) studied this question.
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