Research Article
An iterative Power Allocation Alogrithm for Energy Efficiency Optimization in Massive MIMO Systems
@ARTICLE{10.4108/eai.15-1-2018.154109, author={Yuanyuan Ren and Panpan Miao and Yanhui Lu}, title={An iterative Power Allocation Alogrithm for Energy Efficiency Optimization in Massive MIMO Systems}, journal={EAI Endorsed Transactions on Internet of Things}, volume={3}, number={10}, publisher={EAI}, journal_a={IOT}, year={2017}, month={4}, keywords={Massive MIMO, energy efficiency, power assumption, convex function}, doi={10.4108/eai.15-1-2018.154109} }- Yuanyuan Ren
Panpan Miao
Yanhui Lu
Year: 2017
An iterative Power Allocation Alogrithm for Energy Efficiency Optimization in Massive MIMO Systems
IOT
EAI
DOI: 10.4108/eai.15-1-2018.154109
Abstract
In this paper, a transmitting power allocation strategy for users jointed together pre-coding is presented to eliminate inter-users interference and improve the energy efficiency of Massive MIMO systems. The power allocation model is formularized as energy efficiency optimization problem of the users ’ power and circuit power consumption. We demonstrate that energy efficiency is a convex function of users’ power. In order to reduce the complexity of traditional power allocation algorithm, an iterative power allocation algorithm based on convex optimization theory is proposed to figure out the optimal value of each user power. The simulation results show that the iterative algorithm can effectively improve the energy efficiency of Massive MIMO systems.
Copyright © 2017 Yuanyuan,Ren Author et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
