Joint Beamforming and Power Allocation for Throughput Maximization in Cognitive Radio

摘要

We consider the total throughput maximization problem involving joint beamfoming and power allocation in the cognitive radio network (CN), wherein the single-input multi-output multiple access channels are assumed. Subject to two sets of constraints: the interference constraint of primary user (PU) and the peak power constraints of cognitive users (CUs), a joint beamforming and power allocation algorithm for total throughput maximization in CN is proposed, which is implemented by alternating iteration of MMSE-DFE beamforming and a best response based iterative power allocation algorithm, we note it as MMSE-BR. Compared with the existing algorithm, the proposed MMSE-BR can achieve the optimal throughput under various interference situation, and does not have limit on the number of CU. The optimality of MMSE-BR algorithm is detailedly proved in theorem and corroborating numerical results are presented to present the comparisons with the existing algorithm.