A communication resource optimization method for multi-Qos requirements in sharing electricity

Yefei Li; Yunpeng Li; Jing An; Xurong Jin; Weiwei Guo

doi:10.1117/12.3010381

20 October 2023 A communication resource optimization method for multi-Qos requirements in sharing electricity

Yefei Li, Yunpeng Li, Jing An, Xurong Jin, Weiwei Guo

Proceedings Volume 12814, Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023); 128140D (2023) https://doi.org/10.1117/12.3010381
Event: Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023), 2023, Chongqing, China

Abstract

Shared electricity consumption is a new type of power consumption mode, which has the advantages of saving resources and improving the utilization rate of power system assets. Compared with traditional power consumption, Shared electricity consumption has the characteristics of more metering parameters and high measurement frequency, so it needs better support of communication resource allocation method. At the same time, it also needs to meet different QoS rules applicable to different services. To solve this problem, a low complexity power system communication using transmission line as carrier signal transmission medium resource dispense algorithm is proposed in this paper. Based on the equal power allocation method, this algorithm fix on subcarrier every service’s requirement to fulfill its minimum speed demands, and then uses Lagrange multiplier method to optimize the energy dispensary of remaining sub bands to further improve the throughput of high priority services. The experiment results proclaim the algorithm has high data forwarding rate, it fulfill communication needs of plentiful customers and businesses.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yefei Li, Yunpeng Li, Jing An, Xurong Jin, and Weiwei Guo "A communication resource optimization method for multi-Qos requirements in sharing electricity", Proc. SPIE 12814, Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023), 128140D (20 October 2023); https://doi.org/10.1117/12.3010381

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KEYWORDS

Telecommunications

Power consumption

Data transmission

Orthogonal frequency division multiplexing

Photonic integrated circuits

Lithium

Mathematical optimization

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