Optimal Energy Efficiency Based Power Adaptation for Downlink Multi-Cell Massive MIMO Systems
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...
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doaj-e367deba1fff4a52a2e0bd41830f60e02021-03-30T04:34:02ZengIEEEIEEE Access2169-35362020-01-01820323720325110.1109/ACCESS.2020.30375309256345Optimal Energy Efficiency Based Power Adaptation for Downlink Multi-Cell Massive MIMO SystemsVahid Khodamoradi0https://orcid.org/0000-0003-3185-6672Aduwati Sali1https://orcid.org/0000-0002-1692-6516Oussama Messadi2Asem A. Salah3https://orcid.org/0000-0001-6184-2314Mohanad M. Al-Wani4https://orcid.org/0000-0003-1736-679XBorhanuddin Mohd Ali5Raja Syamsul Azmir Raja Abdullah6https://orcid.org/0000-0002-9375-2038Department of Computer and Communication Systems Engineering, Faculty of Engineering, Wireless and Photonic Networks Research Centre of Excellence (WiPNET), Universiti Putra Malaysia, Selangor, MalaysiaDepartment of Computer and Communication Systems Engineering, Faculty of Engineering, Wireless and Photonic Networks Research Centre of Excellence (WiPNET), Universiti Putra Malaysia, Selangor, MalaysiaDepartment of Computer and Communication Systems Engineering, Faculty of Engineering, Wireless and Photonic Networks Research Centre of Excellence (WiPNET), Universiti Putra Malaysia, Selangor, MalaysiaDepartment of Computer System Engineering, Faculty of Engineering and Information Technology, Arab American University at Palestine, Jenin, PalestineDepartment of Computer and Communication Systems Engineering, Faculty of Engineering, Wireless and Photonic Networks Research Centre of Excellence (WiPNET), Universiti Putra Malaysia, Selangor, MalaysiaDepartment of Computer and Communication Systems Engineering, Faculty of Engineering, Wireless and Photonic Networks Research Centre of Excellence (WiPNET), Universiti Putra Malaysia, Selangor, MalaysiaDepartment of Computer and Communication Systems Engineering, Faculty of Engineering, Wireless and Photonic Networks Research Centre of Excellence (WiPNET), Universiti Putra Malaysia, Selangor, MalaysiaIn 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.https://ieeexplore.ieee.org/document/9256345/Energy efficiency (EE)massive MIMOquality of service (QoS)base station (BS) transmit power |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Vahid Khodamoradi Aduwati Sali Oussama Messadi Asem A. Salah Mohanad M. Al-Wani Borhanuddin Mohd Ali Raja Syamsul Azmir Raja Abdullah |
spellingShingle |
Vahid Khodamoradi Aduwati Sali Oussama Messadi Asem A. Salah Mohanad M. Al-Wani Borhanuddin Mohd Ali Raja Syamsul Azmir Raja Abdullah Optimal Energy Efficiency Based Power Adaptation for Downlink Multi-Cell Massive MIMO Systems IEEE Access Energy efficiency (EE) massive MIMO quality of service (QoS) base station (BS) transmit power |
author_facet |
Vahid Khodamoradi Aduwati Sali Oussama Messadi Asem A. Salah Mohanad M. Al-Wani Borhanuddin Mohd Ali Raja Syamsul Azmir Raja Abdullah |
author_sort |
Vahid Khodamoradi |
title |
Optimal Energy Efficiency Based Power Adaptation for Downlink Multi-Cell Massive MIMO Systems |
title_short |
Optimal Energy Efficiency Based Power Adaptation for Downlink Multi-Cell Massive MIMO Systems |
title_full |
Optimal Energy Efficiency Based Power Adaptation for Downlink Multi-Cell Massive MIMO Systems |
title_fullStr |
Optimal Energy Efficiency Based Power Adaptation for Downlink Multi-Cell Massive MIMO Systems |
title_full_unstemmed |
Optimal Energy Efficiency Based Power Adaptation for Downlink Multi-Cell Massive MIMO Systems |
title_sort |
optimal energy efficiency based power adaptation for downlink multi-cell massive mimo systems |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
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. |
topic |
Energy efficiency (EE) massive MIMO quality of service (QoS) base station (BS) transmit power |
url |
https://ieeexplore.ieee.org/document/9256345/ |
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