Study of Resource Allocation for 5G URLLC/eMBB-Oriented Power Hybrid Service
Author:
Xie Huan1, Zhang Qiuming1, Du Shu1, Yang Yang1, Wu Xue2ORCID, Qin Peng2, Wu Runze2, Zhao Xiongwen2
Affiliation:
1. State Grid Sichuan Electric Power Company, Information Communication Company, Chengdu 610041, China 2. School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
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.
Funder
State Grid Sichuan Electric Power Company
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference23 articles.
1. 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. 2. 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. 3. Ultrareliable and low-latency wireless communication: Tail, risk, and scale;Bennis;Proc. IEEE,2018 4. Intelligent reflecting surface aided multiple access over fading channels;Guo;IEEE Trans. Commun.,2021 5. Joint Resource Allocation and Phase Shift Optimization for RIS-Aided eMBB/URLLC Traffic Multiplexing;Almekhlafi;IEEE Trans. Commun.,2022
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
|
|