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Resource optimization algorithm for RF-aided NOMA VLC network joint blocklength control and power allocation

Author

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  • Hongliang Sun
  • Dejun Xu
  • Chao Wang
  • Zhenghua Liao

Abstract

To achieve high-reliability in the Industrial Internet of Things (IIoT) and satisfy the low-latency requirements of industrial equipment, this paper proposes a resource optimization scheme that jointly controls information transmission blocklength and power allocation. Specifically, Short Packet Communication (SPC) and Non-Orthogonal Multiple Access (NOMA) technologies are introduced to construct a Radio Frequency (RF)-aided Visible Light Communication (VLC) network system. The successful transmission probability of multiple User Equipment (UE) is analyzed, and the Service Capacity (SC) of each channel is quantified. Then, an optimization problem is formulated to maximize the SC, subject to constraints on statistical Quality of Service (QoS), Service Reliability (SR), and transmission power. To solve this optimization problem, we design a resource optimization algorithm joint blocklength and power allocation. Simulation results demonstrate that the proposed resource optimization scheme for NOMA VLC/RF networks outperforms NOMA VLC and OMA VLC in ensuring highly reliable data transmission. Furthermore, the proposed algorithm could maximize the SC of the NOMA VLC/RF networks by utilizing shorter blocklength.

Suggested Citation

  • Hongliang Sun & Dejun Xu & Chao Wang & Zhenghua Liao, 2026. "Resource optimization algorithm for RF-aided NOMA VLC network joint blocklength control and power allocation," PLOS ONE, Public Library of Science, vol. 21(7), pages 1-19, July.
    • Handle: RePEc:plo:pone00:0353349
    DOI: 10.1371/journal.pone.0353349
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