Improved Water-Filling Power Allocation for Energy-Efficient Massive MIMO Downlink Transmissions

被引：3

作者：

Noor Shahida M.K. ^{[1
]}

Nordin R. ^{[2
]}

Ismail M. ^{[2
]}

机构：

[1] Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka

[2] Department of Electrical Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, UKM Bangi, Selangor

来源：

International Journal of Electronics and Telecommunications | 2017年 / 63卷 / 01期

关键词：

energy efficiency; Massive MIMO; power allocation; spectral efficiency;

D O I：

10.1515/eletel-2017-0011

中图分类号：

学科分类号：

摘要：

Energy Efficiency (EE) is becoming increasingly important for wireless communications and has caught more attention due to steadily rising energy costs and environmental concerns. Recently, a new network architecture known as Massive Multiple-Input Multiple-Output (MIMO) has been proposed with the remarkable potential to achieve huge gains in EE with simple linear processing. In this paper, a power allocation algorithm is proposed for EE to achieve the optimal EE in Massive MIMO. Based on the simplified expression, we develop a new algorithm to compute the optimal power allocation algorithm and it has been compared with the existing scheme from the previous literature. An improved water filling algorithm is proposed and embedded in the power allocation algorithm to maximize EE and Spectral Efficiency (SE). The numerical analysis of the simulation results indicates an improvement of 40% in EE and 50% in SE at the downlink transmission, compared to the other existing schemes. Furthermore, the results revealed that SE does not influence the EE enhancement after using the proposed algorithm as the number of Massive MIMO antenna at the Base Station (BS) increases. © 2017 Noor Shahida M. K et al., published by De Gruyter Open 2017.

引用

页码：79 / 84

页数：5

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