IoT 18(10): e5

Research Article

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

Download136 downloads
  • @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={2018},
        month={2},
        keywords={Massive MIMO, energy efficiency, power assumption, convex function},
        doi={10.4108/eai.15-1-2018.154109}
    }
    
  • Yuanyuan Ren
    Panpan Miao
    Yanhui Lu
    Year: 2018
    An iterative Power Allocation Alogrithm for Energy Efficiency Optimization in Massive MIMO Systems
    IOT
    EAI
    DOI: 10.4108/eai.15-1-2018.154109
Yuanyuan Ren1,*, Panpan Miao1, Yanhui Lu1
  • 1: Zhengzhou University,Zhengzhou,Henan,450001 China
*Contact email: 1344349720@qq.com

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.