An iterative Power Allocation Alogrithm for Energy Efficiency Optimization in Massive MIMO Systems

Authors

DOI:

https://doi.org/10.4108/eai.15-1-2018.154109

Keywords:

Massive MIMO, energy efficiency, power assumption, convex function

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.

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Published

14-04-2017

How to Cite

[1]
Y. . Ren, P. . Miao, and Y. . Lu, “An iterative Power Allocation Alogrithm for Energy Efficiency Optimization in Massive MIMO Systems”, EAI Endorsed Trans IoT, vol. 3, no. 10, p. e5, Apr. 2017.

Issue

Vol. 3 No. 10 (2017): EAI Endorsed Transactions on Internet of Things

Section

Research article

License

Copyright (c) 2017 EAI Endorsed Transactions on Internet of Things

Creative Commons License

This work is licensed under a Creative Commons Attribution 3.0 Unported License.

This is an open-access article distributed under the terms of the Creative Commons Attribution CC BY 3.0 license, which permits unlimited use, distribution, and reproduction in any medium so long as the original work is properly cited.