5G Ultra-Reliable and Low Latency Communication Resource Scheduling for Power Business Quality Assurance

Lei FENG; Kunyi XIE; Liang ZHU; Xuesong QIU; Shaoyong GUO

doi:10.11999/JEIT210509

Volume 43 Issue 12

Dec. 2021

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Article Navigation > Journal of Electronics & Information Technology > 2021 > 43(12): 3418-3426

Lei FENG, Kunyi XIE, Liang ZHU, Xuesong QIU, Shaoyong GUO. 5G Ultra-Reliable and Low Latency Communication Resource Scheduling for Power Business Quality Assurance[J]. Journal of Electronics & Information Technology, 2021, 43(12): 3418-3426. doi: 10.11999/JEIT210509

Citation:

Lei FENG, Kunyi XIE, Liang ZHU, Xuesong QIU, Shaoyong GUO. 5G Ultra-Reliable and Low Latency Communication Resource Scheduling for Power Business Quality Assurance[J]. Journal of Electronics & Information Technology, 2021, 43(12): 3418-3426. doi: 10.11999/JEIT210509

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5G Ultra-Reliable and Low Latency Communication Resource Scheduling for Power Business Quality Assurance

doi: 10.11999/JEIT210509

State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China

Funds: The National Key R&D Program of China (2020YFB0906003)

Received Date: 2021-06-03
Rev Recd Date: 2021-10-23

Available Online: 2021-11-09

Publish Date: 2021-12-21

Abstract

Abstract

The resource scheduling method of 5G URLLC (Ultra-Reliable and Low Latency Communication) is studied in this paper to assure the Quality of Service (QoS) of various power business, which utilizes the limited spectrum and power in low-band cellular communication system to meet the requirement of power terminal about transmission rate, scheduling delay and fairness in an efficient manner. Firstly, based on the high reliability and low latency characteristics of URLLC, a multi-cell downlink system model is built. Then, a resource allocation problem model for maximizing downlink throughput is proposed and solved step by step. Power allocation algorithm bases on pricing mechanism and non-cooperative game and an Delay-based Proportional Fair (DPF）algorithm is designed to schedule channel resource dynamicly. Simulation results show that the proposed resource scheduling method can reduce the scheduling delay of power terminals under the constraints of transmission reliability and fairness while meeting the different QoS requirements. The proposed method outperforms some known algorithms.

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References(23)

References

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