Energy-efficient joint transmit beamforming and subarray selection with non-linear power amplifier efficiency
Tervo, Oskari; Tran, Le-Nam; Juntti, Markku (2017-04-24)
O. Tervo, L. Tran and M. Juntti, "Energy-efficient joint transmit beamforming and subarray selection with non-linear power amplifier efficiency," 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Washington, DC, 2016, pp. 763-767. doi: 10.1109/GlobalSIP.2016.7905945
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We study the problem of energy efficiency maximization (EEmax) with joint beamforming and subarray selection, by taking into account the non-linear power amplifier (PA) efficiency in a multi-user multiple-input single-output system. The subarray selection problem is formulated using the concept of perspective formulation with additional penalty term in the objective function. To tackle the resulting challenging mixed-Boolean non-convex optimization problem, we rely on continuous relaxation and successive convex approximation framework where a convex problem is solved in each iteration. Numerical results demonstrate the achieved energy efficiency gains of the subarray selection and show that non-linear PA efficiency has a significant impact on the optimization. We also observe that on contrast to using linear PA efficiency model, the non-linear PA efficiency model yields the fact that it is better to stay silent rather than transmit with very low transmit power.
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