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<p>Recently, networks utilizing Visible Light Communication (VLC) have become an affordable option for meeting the ever-growing need for wireless data, especially for indoor settings. Yet, the restricted modulation capacity of white Light-emitting diodes (LEDs) hampers the development of high-speed VLC systems using standard off-the-shelf components. In order to optimize downlink VLC capabilities, ongoing research has explored the use of Non-Orthogonal Multiple Access (NOMA) and Multiple-Input Multiple-Output (MIMO) strategies. Resource allocation is more challenging in MIMO-NOMA networks due to the presence of multi-dimensional resources. The key purpose of this paper is to formulate a resource allocation strategy for MIMO-NOMA VLC systems using a method called Harmonic One-to-One Based Optimization (HOOBO). HOOBO is developed by the hybridization of Harmonic Analysis and One-To-One Based Optimization (OOBO). The OOBO algorithm enables efficient allocation of resources and improves the convergence speed, while the harmonic analysis enhances the signal processing and optimization efficiency. A hybrid VLC-Radio Frequency (RF) model with multiple users is considered, where the transceiver pairing and resource distribution are alternatively optimized to enhance the Sum Rate, achievable throughput, and Energy Efficiency. The experimental results of HOOBO gained an achievable rate of 95.78 Mbits/sec, Energy Efficiency of 76.56 bits/joule and a superior sum rate of 91.68 Mbits/sec.</p>

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Hybrid Optimization Model-Based Energy Efficiency Maximization for Resource Allocation in MIMO-NOMA-Based Visible Light Communication System

  • 期刊论文

  • 发表日期：

    2025年11月14日

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  • Nidhi Bhuker,
  • Surender K. Grewal

摘要

Recently, networks utilizing Visible Light Communication (VLC) have become an affordable option for meeting the ever-growing need for wireless data, especially for indoor settings. Yet, the restricted modulation capacity of white Light-emitting diodes (LEDs) hampers the development of high-speed VLC systems using standard off-the-shelf components. In order to optimize downlink VLC capabilities, ongoing research has explored the use of Non-Orthogonal Multiple Access (NOMA) and Multiple-Input Multiple-Output (MIMO) strategies. Resource allocation is more challenging in MIMO-NOMA networks due to the presence of multi-dimensional resources. The key purpose of this paper is to formulate a resource allocation strategy for MIMO-NOMA VLC systems using a method called Harmonic One-to-One Based Optimization (HOOBO). HOOBO is developed by the hybridization of Harmonic Analysis and One-To-One Based Optimization (OOBO). The OOBO algorithm enables efficient allocation of resources and improves the convergence speed, while the harmonic analysis enhances the signal processing and optimization efficiency. A hybrid VLC-Radio Frequency (RF) model with multiple users is considered, where the transceiver pairing and resource distribution are alternatively optimized to enhance the Sum Rate, achievable throughput, and Energy Efficiency. The experimental results of HOOBO gained an achievable rate of 95.78 Mbits/sec, Energy Efficiency of 76.56 bits/joule and a superior sum rate of 91.68 Mbits/sec.