{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T14:22:03Z","timestamp":1766067723035,"version":"build-2065373602"},"reference-count":23,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2023,4,11]],"date-time":"2023-04-11T00:00:00Z","timestamp":1681171200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"State Grid Sichuan Electric Power Company","award":["521947220001"],"award-info":[{"award-number":["521947220001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/s23083884","type":"journal-article","created":{"date-parts":[[2023,4,12]],"date-time":"2023-04-12T02:08:11Z","timestamp":1681265291000},"page":"3884","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Study of Resource Allocation for 5G URLLC\/eMBB-Oriented Power Hybrid Service"],"prefix":"10.3390","volume":"23","author":[{"given":"Huan","family":"Xie","sequence":"first","affiliation":[{"name":"State Grid Sichuan Electric Power Company, Information Communication Company, Chengdu 610041, China"}]},{"given":"Qiuming","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Grid Sichuan Electric Power Company, Information Communication Company, Chengdu 610041, China"}]},{"given":"Shu","family":"Du","sequence":"additional","affiliation":[{"name":"State Grid Sichuan Electric Power Company, Information Communication Company, Chengdu 610041, China"}]},{"given":"Yang","family":"Yang","sequence":"additional","affiliation":[{"name":"State Grid Sichuan Electric Power Company, Information Communication Company, Chengdu 610041, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4317-3438","authenticated-orcid":false,"given":"Xue","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China"}]},{"given":"Peng","family":"Qin","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China"}]},{"given":"Runze","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China"}]},{"given":"Xiongwen","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,4,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Abreu, R., Jacobsen, T., Pedersen, K., Berardinelli, G., and Mogensen, P. (May, January 28). System level analysis of embb and grant-free urllc multiplexing in uplink. Proceedings of the 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), Kuala Lumpur, Malaysia.","DOI":"10.1109\/VTCSpring.2019.8746557"},{"key":"ref_2","unstructured":"Park, J., Samarakoon, S., Shiri, H., Abdel-Aziz, M.K., Nishio, T., Elgabli, A., and Bennis, M. (2020). Extreme URLLC:Vision, challenges, and key enablers. arXiv."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1834","DOI":"10.1109\/JPROC.2018.2867029","article-title":"Ultrareliable and low-latency wireless communication: Tail, risk, and scale","volume":"106","author":"Bennis","year":"2018","journal-title":"Proc. IEEE"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"2015","DOI":"10.1109\/TCOMM.2020.3042277","article-title":"Intelligent reflecting surface aided multiple access over fading channels","volume":"69","author":"Guo","year":"2021","journal-title":"IEEE Trans. Commun."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1304","DOI":"10.1109\/TCOMM.2021.3127265","article-title":"Joint Resource Allocation and Phase Shift Optimization for RIS-Aided eMBB\/URLLC Traffic Multiplexing","volume":"70","author":"Almekhlafi","year":"2022","journal-title":"IEEE Trans. Commun."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Li, M., Du, J., and Wang, L. (2021, January 13). eMBB-URLLC Multiplexing: A Preference-Based Method of Ensuring eMBB Reliability and Improving Users\u2019 Satisfaction. Proceedings of the 2021 IEEE International Workshop Technical Committee on Communications Quality and Reliability (CQR 2021), Naples, FL, USA.","DOI":"10.1109\/CQR39960.2021.9446222"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"4585","DOI":"10.1109\/TWC.2021.3060514","article-title":"Intelligent Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond: A Deep Reinforcement Learning Based Approach","volume":"20","author":"Alsenwi","year":"2021","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Pradhan, A., and Das, S. (2020, January 7\u201311). Joint Preference Metric for Efficient Resource Allocation in Co-Existence of eMBB and URLLC. Proceedings of the 2020 International Conference on COMmunication Systems & NETworkS (COMSNETS), Bengaluru, India.","DOI":"10.1109\/COMSNETS48256.2020.9027365"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"9276","DOI":"10.1109\/TWC.2022.3175472","article-title":"Optimal Task Offloading and Resource Allocation for C-NOMA Heterogeneous Air-Ground Integrated Power-IoT Networks","volume":"21","author":"Qin","year":"2022","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Wu, X., Wei, Z., Cheng, Z., and Zhang, X. (2020, January 25\u201328). Joint Optimization of UAV Trajectory and User Scheduling Based on NOMA Technology. Proceedings of the 2020 IEEE Wireless Communications and Networking Conference (WCNC), Seoul, Republic of Korea.","DOI":"10.1109\/WCNC45663.2020.9120737"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1109\/JSTSP.2019.2899731","article-title":"Joint Beamforming and Power Allocation for Satellite-Terrestrial Integrated Networks with Non-Orthogonal Multiple Access","volume":"13","author":"Lin","year":"2019","journal-title":"IEEE J. Sel. Top. Signal Process."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"10594","DOI":"10.1109\/TVT.2021.3109883","article-title":"Joint 3D Location Planning and Resource Allocation for XAPS-Enabled CNOMA in 6G Heterogeneous Internet of Things","volume":"70","author":"Qin","year":"2021","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"6343","DOI":"10.1109\/TWC.2021.3073570","article-title":"Joint Resource Allocation and Trajectory Optimization with QoS in UAV-Based NOMA Wireless Networks","volume":"20","author":"Li","year":"2021","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"2181","DOI":"10.1109\/JSAC.2017.2725519","article-title":"A survey on non-orthogonal multiple access for 5G networks:Research challenges and future trends","volume":"35","author":"Ding","year":"2017","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"7779","DOI":"10.1109\/TCOMM.2020.3021145","article-title":"CoMP transmission in downlink NOMA-based heterogeneous cloud radio access networks","volume":"68","author":"Elhattab","year":"2020","journal-title":"IEEE Trans. Commun."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"3046","DOI":"10.1109\/JIOT.2021.3094903","article-title":"Energy Efficient Resource Allocation for Parked-Cars-Based Cellular-V2V Heterogeneous Networks","volume":"9","author":"Qin","year":"2022","journal-title":"IEEE Internet Things J."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"660","DOI":"10.1109\/TNSE.2021.3130251","article-title":"Joint Dynamic Task Offloading and Resource Scheduling for WPT Enabled Space-Air-Ground Power Internet of Things","volume":"9","author":"Liu","year":"2022","journal-title":"IEEE Trans. Netw. Sci. Eng."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"8398","DOI":"10.1109\/TVT.2022.3171344","article-title":"Learning Based Energy Efficient Task Offloading for Vehicular Collaborative Edge Computing","volume":"71","author":"Qin","year":"2022","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"828","DOI":"10.1109\/JIOT.2022.3203793","article-title":"Content Service Oriented Resource Allocation for Space-Air-Ground Integrated 6G Networks: A Three-Sided Cyclic Matching Approach","volume":"10","author":"Qin","year":"2022","journal-title":"IEEE Internet Things J."},{"key":"ref_20","first-page":"113","article-title":"Efficient resource allocation with context-awareness for parked car road side unit-based Internet of vehicles","volume":"43","author":"Qin","year":"2022","journal-title":"J. Commun."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Qin, P., Wu, X., Cai, Z., Zhao, X., Fu, Y., Wang, M., and Geng, S. (2023). Joint Trajectory Plan and Resource Allocation for UAV-Enabled C-NOMA in Air-Ground Integrated 6G Heterogeneous Network. IEEE Trans. Netw. Sci. Eng., 1\u201313.","DOI":"10.1109\/TNSE.2023.3261278"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Hassan, M., Singh, M., Hamid, K., Saeed, R., Abdelhaq, M., and Alsaqour, R. (2022). Design of Power Location Coefficient System for 6G Downlink Cooperative NOMA Network. Energies, 15.","DOI":"10.3390\/en15196996"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Benjebbovu, A., Li, A., Saito, Y., Kishiyama, Y., Harada, A., and Nakamura, T. (2013, January 9\u201313). System-level performance of downlink NOMA for future LTE enhancements. Proceedings of the 2013 IEEE Globecom Workshops (GC Wkshps), Atlanta, GA, USA.","DOI":"10.1109\/GLOCOMW.2013.6824963"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/8\/3884\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:13:52Z","timestamp":1760123632000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/8\/3884"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,11]]},"references-count":23,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2023,4]]}},"alternative-id":["s23083884"],"URL":"https:\/\/doi.org\/10.3390\/s23083884","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2023,4,11]]}}}