Optimal Energy Efficiency Based Power Adaptation for Downlink Multi-Cell Massive MIMO Systems

Vahid Khodamoradi; Aduwati Sali; Oussama Messadi; Asem A. Salah; Mohanad M. Al-Wani; Borhanuddin Mohd Ali; Raja Syamsul Azmir Raja Abdullah

doi:10.1109/ACCESS.2020.3037530

IEEE Access (Jan 2020)

Optimal Energy Efficiency Based Power Adaptation for Downlink Multi-Cell Massive MIMO Systems

Vahid Khodamoradi,
Aduwati Sali,
Oussama Messadi,
Asem A. Salah,
Mohanad M. Al-Wani,
Borhanuddin Mohd Ali,
Raja Syamsul Azmir Raja Abdullah

Affiliations

Vahid Khodamoradi: ORCiD; Department of Computer and Communication Systems Engineering, Faculty of Engineering, Wireless and Photonic Networks Research Centre of Excellence (WiPNET), Universiti Putra Malaysia, Selangor, Malaysia
Aduwati Sali: ORCiD; Department of Computer and Communication Systems Engineering, Faculty of Engineering, Wireless and Photonic Networks Research Centre of Excellence (WiPNET), Universiti Putra Malaysia, Selangor, Malaysia
Oussama Messadi: Department of Computer and Communication Systems Engineering, Faculty of Engineering, Wireless and Photonic Networks Research Centre of Excellence (WiPNET), Universiti Putra Malaysia, Selangor, Malaysia
Asem A. Salah: ORCiD; Department of Computer System Engineering, Faculty of Engineering and Information Technology, Arab American University at Palestine, Jenin, Palestine
Mohanad M. Al-Wani: ORCiD; Department of Computer and Communication Systems Engineering, Faculty of Engineering, Wireless and Photonic Networks Research Centre of Excellence (WiPNET), Universiti Putra Malaysia, Selangor, Malaysia
Borhanuddin Mohd Ali: Department of Computer and Communication Systems Engineering, Faculty of Engineering, Wireless and Photonic Networks Research Centre of Excellence (WiPNET), Universiti Putra Malaysia, Selangor, Malaysia
Raja Syamsul Azmir Raja Abdullah: ORCiD; Department of Computer and Communication Systems Engineering, Faculty of Engineering, Wireless and Photonic Networks Research Centre of Excellence (WiPNET), Universiti Putra Malaysia, Selangor, Malaysia

DOI: https://doi.org/10.1109/ACCESS.2020.3037530
Journal volume & issue: Vol. 8
pp. 203237 – 203251

Abstract

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In this paper, the power transmission and energy efficiency (EE) in downlink multi-cell massive multiple-input-multiple-output (MIMO) systems are investigated and optimized. Most of the existing works do not take into account different user's quality of service (QoS) requirements. These models also depend on a fixed transmit power consumption, which cannot reflect the actual EE levels concerning QoS. Therefore, in this paper, a new base station (BS) transmit power adaptation is firstly introduced, termed the BSTPA method. The transmitted power is adapted to channel condition and user-level QoS including data rate requirement and maximum allowable outage probability to minimize the total BS radiated power. An analytical closed-form expression of the average BS transmit power adaptation is derived. Then, a corresponding iterative optimization algorithm is proposed to maximize the average EE per BS and obtain the optimal design parameters. The proposed optimization algorithm aims to globally achieve the optimal EE value with the optimal amount of data rate, the number of BS antennas, and users. Simulation results are demonstrated to verify our analytical findings. For a wide range of different design parameters, the results indicate that the proposed method obtains remarkably higher EE levels compared to the conventional scenario, particularly if per-antenna circuit power is very small. The optimization results show that the case with lower per-antenna circuit power can achieve about 4.5 times better EE gain than the case with higher per-antenna circuit power with 13.3% optimum data rate improvement.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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