Study of Resource Allocation for 5G URLLC/eMBB-Oriented Power Hybrid Service

With the rapid development of the 5G power Internet of Things (IoT), new power systems have higher requirements for data transmission rates, latency, reliability, and energy efficiency. Specifically, the hybrid service of enhanced mobile broadband (eMBB) and ultra-reliable low-latency communication...
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Autor*in:	Huan Xie [verfasserIn] Qiuming Zhang [verfasserIn] Shu Du [verfasserIn] Yang Yang [verfasserIn] Xue Wu [verfasserIn] Peng Qin [verfasserIn] Runze Wu [verfasserIn] Xiongwen Zhao [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	enhanced mobile broadband (eMBB) service ultra-reliable low-latency communication (URLLC) service power Internet of Things resource allocation

Übergeordnetes Werk:	In: Sensors - MDPI AG, 2003, 23(2023), 8, p 3884
Übergeordnetes Werk:	volume:23 ; year:2023 ; number:8, p 3884

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/s23083884

Katalog-ID:	DOAJ089775937

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spelling	10.3390/s23083884 doi (DE-627)DOAJ089775937 (DE-599)DOAJ59429708d1834c5889c64ee7916a99ef DE-627 ger DE-627 rakwb eng TP1-1185 Huan Xie verfasserin aut Study of Resource Allocation for 5G URLLC/eMBB-Oriented Power Hybrid Service 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier With the rapid development of the 5G power Internet of Things (IoT), new power systems have higher requirements for data transmission rates, latency, reliability, and energy efficiency. Specifically, the hybrid service of enhanced mobile broadband (eMBB) and ultra-reliable low-latency communication (URLLC) has brought new challenges to the differentiated service of the 5G power IoT. To solve the above problems, this paper first constructs a power IoT model based on NOMA for the mixed service of URLLC and eMBB. Considering the shortage of resource utilization in eMBB and URLLC hybrid power service scenarios, the problem of maximizing system throughput through joint channel selection and power allocation is proposed. The channel selection algorithm based on matching as well as the power allocation algorithm based on water injection are developed to tackle the problem. Both theoretical analysis and experimental simulation verify that our method has superior performance in system throughput and spectrum efficiency. enhanced mobile broadband (eMBB) service ultra-reliable low-latency communication (URLLC) service power Internet of Things resource allocation Chemical technology Qiuming Zhang verfasserin aut Shu Du verfasserin aut Yang Yang verfasserin aut Xue Wu verfasserin aut Peng Qin verfasserin aut Runze Wu verfasserin aut Xiongwen Zhao verfasserin aut In Sensors MDPI AG, 2003 23(2023), 8, p 3884 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:23 year:2023 number:8, p 3884 https://doi.org/10.3390/s23083884 kostenfrei https://doaj.org/article/59429708d1834c5889c64ee7916a99ef kostenfrei https://www.mdpi.com/1424-8220/23/8/3884 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 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 23 2023 8, p 3884
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allfieldsSound	10.3390/s23083884 doi (DE-627)DOAJ089775937 (DE-599)DOAJ59429708d1834c5889c64ee7916a99ef DE-627 ger DE-627 rakwb eng TP1-1185 Huan Xie verfasserin aut Study of Resource Allocation for 5G URLLC/eMBB-Oriented Power Hybrid Service 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier With the rapid development of the 5G power Internet of Things (IoT), new power systems have higher requirements for data transmission rates, latency, reliability, and energy efficiency. Specifically, the hybrid service of enhanced mobile broadband (eMBB) and ultra-reliable low-latency communication (URLLC) has brought new challenges to the differentiated service of the 5G power IoT. To solve the above problems, this paper first constructs a power IoT model based on NOMA for the mixed service of URLLC and eMBB. Considering the shortage of resource utilization in eMBB and URLLC hybrid power service scenarios, the problem of maximizing system throughput through joint channel selection and power allocation is proposed. The channel selection algorithm based on matching as well as the power allocation algorithm based on water injection are developed to tackle the problem. Both theoretical analysis and experimental simulation verify that our method has superior performance in system throughput and spectrum efficiency. enhanced mobile broadband (eMBB) service ultra-reliable low-latency communication (URLLC) service power Internet of Things resource allocation Chemical technology Qiuming Zhang verfasserin aut Shu Du verfasserin aut Yang Yang verfasserin aut Xue Wu verfasserin aut Peng Qin verfasserin aut Runze Wu verfasserin aut Xiongwen Zhao verfasserin aut In Sensors MDPI AG, 2003 23(2023), 8, p 3884 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:23 year:2023 number:8, p 3884 https://doi.org/10.3390/s23083884 kostenfrei https://doaj.org/article/59429708d1834c5889c64ee7916a99ef kostenfrei https://www.mdpi.com/1424-8220/23/8/3884 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 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 23 2023 8, p 3884
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authorswithroles_txt_mv	Huan Xie @@aut@@ Qiuming Zhang @@aut@@ Shu Du @@aut@@ Yang Yang @@aut@@ Xue Wu @@aut@@ Peng Qin @@aut@@ Runze Wu @@aut@@ Xiongwen Zhao @@aut@@
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callnumber-first	T - Technology
author	Huan Xie
spellingShingle	Huan Xie misc TP1-1185 misc enhanced mobile broadband (eMBB) service misc ultra-reliable low-latency communication (URLLC) service misc power Internet of Things misc resource allocation misc Chemical technology Study of Resource Allocation for 5G URLLC/eMBB-Oriented Power Hybrid Service
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topic_title	TP1-1185 Study of Resource Allocation for 5G URLLC/eMBB-Oriented Power Hybrid Service enhanced mobile broadband (eMBB) service ultra-reliable low-latency communication (URLLC) service power Internet of Things resource allocation
topic	misc TP1-1185 misc enhanced mobile broadband (eMBB) service misc ultra-reliable low-latency communication (URLLC) service misc power Internet of Things misc resource allocation misc Chemical technology
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title	Study of Resource Allocation for 5G URLLC/eMBB-Oriented Power Hybrid Service
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title_sort	study of resource allocation for 5g urllc/embb-oriented power hybrid service
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title_auth	Study of Resource Allocation for 5G URLLC/eMBB-Oriented Power Hybrid Service
abstract	With the rapid development of the 5G power Internet of Things (IoT), new power systems have higher requirements for data transmission rates, latency, reliability, and energy efficiency. Specifically, the hybrid service of enhanced mobile broadband (eMBB) and ultra-reliable low-latency communication (URLLC) has brought new challenges to the differentiated service of the 5G power IoT. To solve the above problems, this paper first constructs a power IoT model based on NOMA for the mixed service of URLLC and eMBB. Considering the shortage of resource utilization in eMBB and URLLC hybrid power service scenarios, the problem of maximizing system throughput through joint channel selection and power allocation is proposed. The channel selection algorithm based on matching as well as the power allocation algorithm based on water injection are developed to tackle the problem. Both theoretical analysis and experimental simulation verify that our method has superior performance in system throughput and spectrum efficiency.
abstractGer	With the rapid development of the 5G power Internet of Things (IoT), new power systems have higher requirements for data transmission rates, latency, reliability, and energy efficiency. Specifically, the hybrid service of enhanced mobile broadband (eMBB) and ultra-reliable low-latency communication (URLLC) has brought new challenges to the differentiated service of the 5G power IoT. To solve the above problems, this paper first constructs a power IoT model based on NOMA for the mixed service of URLLC and eMBB. Considering the shortage of resource utilization in eMBB and URLLC hybrid power service scenarios, the problem of maximizing system throughput through joint channel selection and power allocation is proposed. The channel selection algorithm based on matching as well as the power allocation algorithm based on water injection are developed to tackle the problem. Both theoretical analysis and experimental simulation verify that our method has superior performance in system throughput and spectrum efficiency.
abstract_unstemmed	With the rapid development of the 5G power Internet of Things (IoT), new power systems have higher requirements for data transmission rates, latency, reliability, and energy efficiency. Specifically, the hybrid service of enhanced mobile broadband (eMBB) and ultra-reliable low-latency communication (URLLC) has brought new challenges to the differentiated service of the 5G power IoT. To solve the above problems, this paper first constructs a power IoT model based on NOMA for the mixed service of URLLC and eMBB. Considering the shortage of resource utilization in eMBB and URLLC hybrid power service scenarios, the problem of maximizing system throughput through joint channel selection and power allocation is proposed. The channel selection algorithm based on matching as well as the power allocation algorithm based on water injection are developed to tackle the problem. Both theoretical analysis and experimental simulation verify that our method has superior performance in system throughput and spectrum efficiency.
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title_short	Study of Resource Allocation for 5G URLLC/eMBB-Oriented Power Hybrid Service
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