Interference-Aware Resource Optimization for Device-to-Device Communications in 5G Networks

In this paper, we investigate the resource optimization problem for device-to-device (D2D) communications in the fifth-generation cellular networks, where multiple D2D links and cellular links share the same spectrum. A general framework is proposed to jointly optimize the energy efficiency (EE), sp...
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Autor*in:	Yuanyuan Hao [verfasserIn] Qiang Ni [verfasserIn] Hai Li [verfasserIn] Shujuan Hou [verfasserIn] Geyong Min [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	Delay D2D communications energy efficiency matching theory power control resource allocation

Übergeordnetes Werk:	In: IEEE Access - IEEE, 2014, 6(2018), Seite 78437-78452
Übergeordnetes Werk:	volume:6 ; year:2018 ; pages:78437-78452

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1109/ACCESS.2018.2885035

Katalog-ID:	DOAJ069554803

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520			\|a In this paper, we investigate the resource optimization problem for device-to-device (D2D) communications in the fifth-generation cellular networks, where multiple D2D links and cellular links share the same spectrum. A general framework is proposed to jointly optimize the energy efficiency (EE), spectral efficiency (SE), and queuing delay. Specifically, we formulate the problem as a stochastic optimization model aiming at maximizing the EE and SE concurrently under the network stability constraint, where subchannel allocation and power control are jointly optimized. Afterwards, with the help of Lyapunov techniques and weighted sum method, it is then transformed into a single-objective optimization problem, which is a mixed-integer and non-convex problem. Therefore, to solve this challenging subchannel allocation and power control problem with low computational complexity, we separate it into two levels of problems, and a two-stage iterative algorithm is proposed, which only requires polynomial computational complexity. Through theoretical analysis and numerical results, the effectiveness, convergence, and optimality of the proposed algorithm are validated.
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allfields	10.1109/ACCESS.2018.2885035 doi (DE-627)DOAJ069554803 (DE-599)DOAJ575cf0d16b6b42e082d60b92cd590ba6 DE-627 ger DE-627 rakwb eng TK1-9971 Yuanyuan Hao verfasserin aut Interference-Aware Resource Optimization for Device-to-Device Communications in 5G Networks 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, we investigate the resource optimization problem for device-to-device (D2D) communications in the fifth-generation cellular networks, where multiple D2D links and cellular links share the same spectrum. A general framework is proposed to jointly optimize the energy efficiency (EE), spectral efficiency (SE), and queuing delay. Specifically, we formulate the problem as a stochastic optimization model aiming at maximizing the EE and SE concurrently under the network stability constraint, where subchannel allocation and power control are jointly optimized. Afterwards, with the help of Lyapunov techniques and weighted sum method, it is then transformed into a single-objective optimization problem, which is a mixed-integer and non-convex problem. Therefore, to solve this challenging subchannel allocation and power control problem with low computational complexity, we separate it into two levels of problems, and a two-stage iterative algorithm is proposed, which only requires polynomial computational complexity. Through theoretical analysis and numerical results, the effectiveness, convergence, and optimality of the proposed algorithm are validated. Delay D2D communications energy efficiency matching theory power control resource allocation Electrical engineering. Electronics. Nuclear engineering Qiang Ni verfasserin aut Hai Li verfasserin aut Shujuan Hou verfasserin aut Geyong Min verfasserin aut In IEEE Access IEEE, 2014 6(2018), Seite 78437-78452 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:6 year:2018 pages:78437-78452 https://doi.org/10.1109/ACCESS.2018.2885035 kostenfrei https://doaj.org/article/575cf0d16b6b42e082d60b92cd590ba6 kostenfrei https://ieeexplore.ieee.org/document/8558479/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2018 78437-78452
spelling	10.1109/ACCESS.2018.2885035 doi (DE-627)DOAJ069554803 (DE-599)DOAJ575cf0d16b6b42e082d60b92cd590ba6 DE-627 ger DE-627 rakwb eng TK1-9971 Yuanyuan Hao verfasserin aut Interference-Aware Resource Optimization for Device-to-Device Communications in 5G Networks 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, we investigate the resource optimization problem for device-to-device (D2D) communications in the fifth-generation cellular networks, where multiple D2D links and cellular links share the same spectrum. A general framework is proposed to jointly optimize the energy efficiency (EE), spectral efficiency (SE), and queuing delay. Specifically, we formulate the problem as a stochastic optimization model aiming at maximizing the EE and SE concurrently under the network stability constraint, where subchannel allocation and power control are jointly optimized. Afterwards, with the help of Lyapunov techniques and weighted sum method, it is then transformed into a single-objective optimization problem, which is a mixed-integer and non-convex problem. Therefore, to solve this challenging subchannel allocation and power control problem with low computational complexity, we separate it into two levels of problems, and a two-stage iterative algorithm is proposed, which only requires polynomial computational complexity. Through theoretical analysis and numerical results, the effectiveness, convergence, and optimality of the proposed algorithm are validated. Delay D2D communications energy efficiency matching theory power control resource allocation Electrical engineering. Electronics. Nuclear engineering Qiang Ni verfasserin aut Hai Li verfasserin aut Shujuan Hou verfasserin aut Geyong Min verfasserin aut In IEEE Access IEEE, 2014 6(2018), Seite 78437-78452 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:6 year:2018 pages:78437-78452 https://doi.org/10.1109/ACCESS.2018.2885035 kostenfrei https://doaj.org/article/575cf0d16b6b42e082d60b92cd590ba6 kostenfrei https://ieeexplore.ieee.org/document/8558479/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2018 78437-78452
allfields_unstemmed	10.1109/ACCESS.2018.2885035 doi (DE-627)DOAJ069554803 (DE-599)DOAJ575cf0d16b6b42e082d60b92cd590ba6 DE-627 ger DE-627 rakwb eng TK1-9971 Yuanyuan Hao verfasserin aut Interference-Aware Resource Optimization for Device-to-Device Communications in 5G Networks 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, we investigate the resource optimization problem for device-to-device (D2D) communications in the fifth-generation cellular networks, where multiple D2D links and cellular links share the same spectrum. A general framework is proposed to jointly optimize the energy efficiency (EE), spectral efficiency (SE), and queuing delay. Specifically, we formulate the problem as a stochastic optimization model aiming at maximizing the EE and SE concurrently under the network stability constraint, where subchannel allocation and power control are jointly optimized. Afterwards, with the help of Lyapunov techniques and weighted sum method, it is then transformed into a single-objective optimization problem, which is a mixed-integer and non-convex problem. Therefore, to solve this challenging subchannel allocation and power control problem with low computational complexity, we separate it into two levels of problems, and a two-stage iterative algorithm is proposed, which only requires polynomial computational complexity. Through theoretical analysis and numerical results, the effectiveness, convergence, and optimality of the proposed algorithm are validated. Delay D2D communications energy efficiency matching theory power control resource allocation Electrical engineering. Electronics. Nuclear engineering Qiang Ni verfasserin aut Hai Li verfasserin aut Shujuan Hou verfasserin aut Geyong Min verfasserin aut In IEEE Access IEEE, 2014 6(2018), Seite 78437-78452 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:6 year:2018 pages:78437-78452 https://doi.org/10.1109/ACCESS.2018.2885035 kostenfrei https://doaj.org/article/575cf0d16b6b42e082d60b92cd590ba6 kostenfrei https://ieeexplore.ieee.org/document/8558479/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2018 78437-78452
allfieldsGer	10.1109/ACCESS.2018.2885035 doi (DE-627)DOAJ069554803 (DE-599)DOAJ575cf0d16b6b42e082d60b92cd590ba6 DE-627 ger DE-627 rakwb eng TK1-9971 Yuanyuan Hao verfasserin aut Interference-Aware Resource Optimization for Device-to-Device Communications in 5G Networks 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, we investigate the resource optimization problem for device-to-device (D2D) communications in the fifth-generation cellular networks, where multiple D2D links and cellular links share the same spectrum. A general framework is proposed to jointly optimize the energy efficiency (EE), spectral efficiency (SE), and queuing delay. Specifically, we formulate the problem as a stochastic optimization model aiming at maximizing the EE and SE concurrently under the network stability constraint, where subchannel allocation and power control are jointly optimized. Afterwards, with the help of Lyapunov techniques and weighted sum method, it is then transformed into a single-objective optimization problem, which is a mixed-integer and non-convex problem. Therefore, to solve this challenging subchannel allocation and power control problem with low computational complexity, we separate it into two levels of problems, and a two-stage iterative algorithm is proposed, which only requires polynomial computational complexity. Through theoretical analysis and numerical results, the effectiveness, convergence, and optimality of the proposed algorithm are validated. Delay D2D communications energy efficiency matching theory power control resource allocation Electrical engineering. Electronics. Nuclear engineering Qiang Ni verfasserin aut Hai Li verfasserin aut Shujuan Hou verfasserin aut Geyong Min verfasserin aut In IEEE Access IEEE, 2014 6(2018), Seite 78437-78452 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:6 year:2018 pages:78437-78452 https://doi.org/10.1109/ACCESS.2018.2885035 kostenfrei https://doaj.org/article/575cf0d16b6b42e082d60b92cd590ba6 kostenfrei https://ieeexplore.ieee.org/document/8558479/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2018 78437-78452
allfieldsSound	10.1109/ACCESS.2018.2885035 doi (DE-627)DOAJ069554803 (DE-599)DOAJ575cf0d16b6b42e082d60b92cd590ba6 DE-627 ger DE-627 rakwb eng TK1-9971 Yuanyuan Hao verfasserin aut Interference-Aware Resource Optimization for Device-to-Device Communications in 5G Networks 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, we investigate the resource optimization problem for device-to-device (D2D) communications in the fifth-generation cellular networks, where multiple D2D links and cellular links share the same spectrum. A general framework is proposed to jointly optimize the energy efficiency (EE), spectral efficiency (SE), and queuing delay. Specifically, we formulate the problem as a stochastic optimization model aiming at maximizing the EE and SE concurrently under the network stability constraint, where subchannel allocation and power control are jointly optimized. Afterwards, with the help of Lyapunov techniques and weighted sum method, it is then transformed into a single-objective optimization problem, which is a mixed-integer and non-convex problem. Therefore, to solve this challenging subchannel allocation and power control problem with low computational complexity, we separate it into two levels of problems, and a two-stage iterative algorithm is proposed, which only requires polynomial computational complexity. Through theoretical analysis and numerical results, the effectiveness, convergence, and optimality of the proposed algorithm are validated. Delay D2D communications energy efficiency matching theory power control resource allocation Electrical engineering. Electronics. Nuclear engineering Qiang Ni verfasserin aut Hai Li verfasserin aut Shujuan Hou verfasserin aut Geyong Min verfasserin aut In IEEE Access IEEE, 2014 6(2018), Seite 78437-78452 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:6 year:2018 pages:78437-78452 https://doi.org/10.1109/ACCESS.2018.2885035 kostenfrei https://doaj.org/article/575cf0d16b6b42e082d60b92cd590ba6 kostenfrei https://ieeexplore.ieee.org/document/8558479/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2018 78437-78452
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source	In IEEE Access 6(2018), Seite 78437-78452 volume:6 year:2018 pages:78437-78452
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topic_facet	Delay D2D communications energy efficiency matching theory power control resource allocation Electrical engineering. Electronics. Nuclear engineering
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authorswithroles_txt_mv	Yuanyuan Hao @@aut@@ Qiang Ni @@aut@@ Hai Li @@aut@@ Shujuan Hou @@aut@@ Geyong Min @@aut@@
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callnumber-first	T - Technology
author	Yuanyuan Hao
spellingShingle	Yuanyuan Hao misc TK1-9971 misc Delay misc D2D communications misc energy efficiency misc matching theory misc power control misc resource allocation misc Electrical engineering. Electronics. Nuclear engineering Interference-Aware Resource Optimization for Device-to-Device Communications in 5G Networks
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topic_title	TK1-9971 Interference-Aware Resource Optimization for Device-to-Device Communications in 5G Networks Delay D2D communications energy efficiency matching theory power control resource allocation
topic	misc TK1-9971 misc Delay misc D2D communications misc energy efficiency misc matching theory misc power control misc resource allocation misc Electrical engineering. Electronics. Nuclear engineering
topic_unstemmed	misc TK1-9971 misc Delay misc D2D communications misc energy efficiency misc matching theory misc power control misc resource allocation misc Electrical engineering. Electronics. Nuclear engineering
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title	Interference-Aware Resource Optimization for Device-to-Device Communications in 5G Networks
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title_sort	interference-aware resource optimization for device-to-device communications in 5g networks
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title_auth	Interference-Aware Resource Optimization for Device-to-Device Communications in 5G Networks
abstract	In this paper, we investigate the resource optimization problem for device-to-device (D2D) communications in the fifth-generation cellular networks, where multiple D2D links and cellular links share the same spectrum. A general framework is proposed to jointly optimize the energy efficiency (EE), spectral efficiency (SE), and queuing delay. Specifically, we formulate the problem as a stochastic optimization model aiming at maximizing the EE and SE concurrently under the network stability constraint, where subchannel allocation and power control are jointly optimized. Afterwards, with the help of Lyapunov techniques and weighted sum method, it is then transformed into a single-objective optimization problem, which is a mixed-integer and non-convex problem. Therefore, to solve this challenging subchannel allocation and power control problem with low computational complexity, we separate it into two levels of problems, and a two-stage iterative algorithm is proposed, which only requires polynomial computational complexity. Through theoretical analysis and numerical results, the effectiveness, convergence, and optimality of the proposed algorithm are validated.
abstractGer	In this paper, we investigate the resource optimization problem for device-to-device (D2D) communications in the fifth-generation cellular networks, where multiple D2D links and cellular links share the same spectrum. A general framework is proposed to jointly optimize the energy efficiency (EE), spectral efficiency (SE), and queuing delay. Specifically, we formulate the problem as a stochastic optimization model aiming at maximizing the EE and SE concurrently under the network stability constraint, where subchannel allocation and power control are jointly optimized. Afterwards, with the help of Lyapunov techniques and weighted sum method, it is then transformed into a single-objective optimization problem, which is a mixed-integer and non-convex problem. Therefore, to solve this challenging subchannel allocation and power control problem with low computational complexity, we separate it into two levels of problems, and a two-stage iterative algorithm is proposed, which only requires polynomial computational complexity. Through theoretical analysis and numerical results, the effectiveness, convergence, and optimality of the proposed algorithm are validated.
abstract_unstemmed	In this paper, we investigate the resource optimization problem for device-to-device (D2D) communications in the fifth-generation cellular networks, where multiple D2D links and cellular links share the same spectrum. A general framework is proposed to jointly optimize the energy efficiency (EE), spectral efficiency (SE), and queuing delay. Specifically, we formulate the problem as a stochastic optimization model aiming at maximizing the EE and SE concurrently under the network stability constraint, where subchannel allocation and power control are jointly optimized. Afterwards, with the help of Lyapunov techniques and weighted sum method, it is then transformed into a single-objective optimization problem, which is a mixed-integer and non-convex problem. Therefore, to solve this challenging subchannel allocation and power control problem with low computational complexity, we separate it into two levels of problems, and a two-stage iterative algorithm is proposed, which only requires polynomial computational complexity. Through theoretical analysis and numerical results, the effectiveness, convergence, and optimality of the proposed algorithm are validated.
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title_short	Interference-Aware Resource Optimization for Device-to-Device Communications in 5G Networks
url	https://doi.org/10.1109/ACCESS.2018.2885035 https://doaj.org/article/575cf0d16b6b42e082d60b92cd590ba6 https://ieeexplore.ieee.org/document/8558479/ https://doaj.org/toc/2169-3536
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up_date	2024-07-03T23:46:13.573Z
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Interference-Aware Resource Optimization for Device-to-Device Communications in 5G Networks

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