Energy-efficient power allocation and joint user association in multiuser-downlink massive MIMO system

Singular value decomposition is highly essential to achieve a higher performance in signal processing using massive multiple-input multiple-output (MIMO) systems. This paper aims to provide a solution to control power allocation problem identified as an essential metric in a massive MIMO system that...

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Main Authors:	Salh, Adeeb, Nor Shahida, Mohd Shah, Audah, Lukman, Abdullah, Lukman, Jabbar, Waheb A.
Format:	Article
Language:	English
Published:	IEEE 2019
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/27526/ http://umpir.ump.edu.my/id/eprint/27526/ http://umpir.ump.edu.my/id/eprint/27526/ http://umpir.ump.edu.my/id/eprint/27526/1/Energy-Efficient%20Power%20Allocation%20and%20Joint%20User.pdf

id	ump-27526
recordtype	eprints
spelling	ump-275262020-01-21T08:03:37Z http://umpir.ump.edu.my/id/eprint/27526/ Energy-efficient power allocation and joint user association in multiuser-downlink massive MIMO system Salh, Adeeb Nor Shahida, Mohd Shah Audah, Lukman Abdullah, Lukman Jabbar, Waheb A. TK Electrical engineering. Electronics Nuclear engineering Singular value decomposition is highly essential to achieve a higher performance in signal processing using massive multiple-input multiple-output (MIMO) systems. This paper aims to provide a solution to control power allocation problem identified as an essential metric in a massive MIMO system that maximizes energy efficiency (EE). The network performance was evaluated by measuring circuit power consumption to maximize EE. The computational efficiency to maximize EE power allocation is very important to fifth generation networks (5G). The study aims to maximize the non-convex EE in a downlink (DL) massive MIMO system using a proposed energy-efficient low-complexity algorithm (EELCA) that guarantees optimal power allocation solution based on Newton’s methods and joint user’s association based on the Lagrange’s decomposition method. An optimal power allocation solution in closed form to decrease the complexity of the power subject to both the maximum power and minimum data rate constrained systems was derived. Then, the unconstrained EE power allocation to solve the unconstrained optimal power was used to select the optimal power allocation by computing a root of the first derivative of the EE based on differentiating the instantaneous power allocation to maximize EE was formulated. Simulation results showed that the proposed EELCA with a total transmitted power allocation provided maximum EE for a large number of antennas at the base station (BS), Generally, non-linear schemes outperformed linear schemes. Finally, the large cost of circuit power consumption increased at the BS due to the large loss of radio frequency (RF) chains at every antenna when the signals were transmitted to all users. The maximum EE = 5.9 Mbits/joule when the number of distributed users, K=33 , with (pc,M)=(1000mW,200) . The proposed low complexity algorithm provides the better result EE based on a training channel for a number of dist. IEEE 2019 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/27526/1/Energy-Efficient%20Power%20Allocation%20and%20Joint%20User.pdf Salh, Adeeb and Nor Shahida, Mohd Shah and Audah, Lukman and Abdullah, Lukman and Jabbar, Waheb A. (2019) Energy-efficient power allocation and joint user association in multiuser-downlink massive MIMO system. IEEE Access, 8. pp. 1314-1326. ISSN 2169-3536 https://doi.org/10.1109/ACCESS.2019.2958640 https://doi.org/10.1109/ACCESS.2019.2958640
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Salh, Adeeb Nor Shahida, Mohd Shah Audah, Lukman Abdullah, Lukman Jabbar, Waheb A. Energy-efficient power allocation and joint user association in multiuser-downlink massive MIMO system
description	Singular value decomposition is highly essential to achieve a higher performance in signal processing using massive multiple-input multiple-output (MIMO) systems. This paper aims to provide a solution to control power allocation problem identified as an essential metric in a massive MIMO system that maximizes energy efficiency (EE). The network performance was evaluated by measuring circuit power consumption to maximize EE. The computational efficiency to maximize EE power allocation is very important to fifth generation networks (5G). The study aims to maximize the non-convex EE in a downlink (DL) massive MIMO system using a proposed energy-efficient low-complexity algorithm (EELCA) that guarantees optimal power allocation solution based on Newton’s methods and joint user’s association based on the Lagrange’s decomposition method. An optimal power allocation solution in closed form to decrease the complexity of the power subject to both the maximum power and minimum data rate constrained systems was derived. Then, the unconstrained EE power allocation to solve the unconstrained optimal power was used to select the optimal power allocation by computing a root of the first derivative of the EE based on differentiating the instantaneous power allocation to maximize EE was formulated. Simulation results showed that the proposed EELCA with a total transmitted power allocation provided maximum EE for a large number of antennas at the base station (BS), Generally, non-linear schemes outperformed linear schemes. Finally, the large cost of circuit power consumption increased at the BS due to the large loss of radio frequency (RF) chains at every antenna when the signals were transmitted to all users. The maximum EE = 5.9 Mbits/joule when the number of distributed users, K=33 , with (pc,M)=(1000mW,200) . The proposed low complexity algorithm provides the better result EE based on a training channel for a number of dist.
format	Article
author	Salh, Adeeb Nor Shahida, Mohd Shah Audah, Lukman Abdullah, Lukman Jabbar, Waheb A.
author_facet	Salh, Adeeb Nor Shahida, Mohd Shah Audah, Lukman Abdullah, Lukman Jabbar, Waheb A.
author_sort	Salh, Adeeb
title	Energy-efficient power allocation and joint user association in multiuser-downlink massive MIMO system
title_short	Energy-efficient power allocation and joint user association in multiuser-downlink massive MIMO system
title_full	Energy-efficient power allocation and joint user association in multiuser-downlink massive MIMO system
title_fullStr	Energy-efficient power allocation and joint user association in multiuser-downlink massive MIMO system
title_full_unstemmed	Energy-efficient power allocation and joint user association in multiuser-downlink massive MIMO system
title_sort	energy-efficient power allocation and joint user association in multiuser-downlink massive mimo system
publisher	IEEE
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/27526/ http://umpir.ump.edu.my/id/eprint/27526/ http://umpir.ump.edu.my/id/eprint/27526/ http://umpir.ump.edu.my/id/eprint/27526/1/Energy-Efficient%20Power%20Allocation%20and%20Joint%20User.pdf
first_indexed	2023-09-18T22:43:18Z
last_indexed	2023-09-18T22:43:18Z
_version_	1777417058969976832

Energy-efficient power allocation and joint user association in multiuser-downlink massive MIMO system

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