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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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/8/3884 |
| _version_ | 1797603494338756608 |
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| author | Huan Xie Qiuming Zhang Shu Du Yang Yang Xue Wu Peng Qin Runze Wu Xiongwen Zhao |
| author_facet | Huan Xie Qiuming Zhang Shu Du Yang Yang Xue Wu Peng Qin Runze Wu Xiongwen Zhao |
| author_sort | Huan Xie |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T04:32:55Z |
| format | Article |
| id | doaj.art-59429708d1834c5889c64ee7916a99ef |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T04:32:55Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-59429708d1834c5889c64ee7916a99ef2023-11-17T21:16:00ZengMDPI AGSensors1424-82202023-04-01238388410.3390/s23083884Study of Resource Allocation for 5G URLLC/eMBB-Oriented Power Hybrid ServiceHuan Xie0Qiuming Zhang1Shu Du2Yang Yang3Xue Wu4Peng Qin5Runze Wu6Xiongwen Zhao7State Grid Sichuan Electric Power Company, Information Communication Company, Chengdu 610041, ChinaState Grid Sichuan Electric Power Company, Information Communication Company, Chengdu 610041, ChinaState Grid Sichuan Electric Power Company, Information Communication Company, Chengdu 610041, ChinaState Grid Sichuan Electric Power Company, Information Communication Company, Chengdu 610041, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, ChinaWith 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.https://www.mdpi.com/1424-8220/23/8/3884enhanced mobile broadband (eMBB) serviceultra-reliable low-latency communication (URLLC) servicepower Internet of Thingsresource allocation |
| spellingShingle | Huan Xie Qiuming Zhang Shu Du Yang Yang Xue Wu Peng Qin Runze Wu Xiongwen Zhao Study of Resource Allocation for 5G URLLC/eMBB-Oriented Power Hybrid Service Sensors enhanced mobile broadband (eMBB) service ultra-reliable low-latency communication (URLLC) service power Internet of Things resource allocation |
| title | Study of Resource Allocation for 5G URLLC/eMBB-Oriented Power Hybrid Service |
| title_full | Study of Resource Allocation for 5G URLLC/eMBB-Oriented Power Hybrid Service |
| title_fullStr | Study of Resource Allocation for 5G URLLC/eMBB-Oriented Power Hybrid Service |
| title_full_unstemmed | Study of Resource Allocation for 5G URLLC/eMBB-Oriented Power Hybrid Service |
| title_short | Study of Resource Allocation for 5G URLLC/eMBB-Oriented Power Hybrid Service |
| title_sort | study of resource allocation for 5g urllc embb oriented power hybrid service |
| topic | enhanced mobile broadband (eMBB) service ultra-reliable low-latency communication (URLLC) service power Internet of Things resource allocation |
| url | https://www.mdpi.com/1424-8220/23/8/3884 |
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