University of Oulu

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

Energy-efficient joint transmit beamforming and subarray selection with non-linear power amplifier efficiency

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Author: Tervo, Oskari1; Tran, Le-Nam2; Juntti, Markku1
Organizations: 1Centre for Wireless Communications, University of Oulu, P.O.Box 4500, FI-90014, Finland
2Department of Electronic Engineering, Maynooth University, Maynooth, Co Kildare, Ireland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.2 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2017
Publish Date: 2018-08-02


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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ISBN: 978-1-5090-4545-7
ISBN Print: 978-1-5090-4546-4
Pages: 763 - 767
DOI: 10.1109/GlobalSIP.2016.7905945
Host publication: 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
Conference: IEEE Global Conference on Signal and Information Processing
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was supported in part by Infotech Oulu Doctoral Program and the Academy of Finland under project Message and CSI Sharing for Cellular Interference Management with Backhaul Constraints (MESIC) belonging to the WiFIUS program with NSF. It was also supported by a research grant from Science Foundation Ireland and is co-funded by the European Regional Development Fund under Grant 13/RC/2077. Further supporters have been KAUTE foundation, HPY Research foundation, Walter Ahlström Foundation, and Tauno Tönning Foundation.
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