TY  - JOUR
AU  - Zhong, Xin
AU  - Zeng, Zhihong
AU  - Chen, Chen
PY  - 2026
DA  - 2026/08/08
TI  - A Modified IRS Channel Model for MIMO Optical Wireless Communications with Geometric Constraints and Alignment Errors
JO  - Optical Wireless Communication
T2  - Optical Wireless Communication
JF  - Optical Wireless Communication
VL  - 1
IS  - 1
SP  - 30
EP  - 43
DO  - 10.62762/OWC.2026.926601
UR  - https://www.icck.org/article/abs/OWC.2026.926601
KW  - optical wireless communication
KW  - multiple-input multiple-output
KW  - intelligent reflecting surface
KW  - inter-channel interference
AB  - Optical wireless communication (OWC) has emerged as a promising technology for high-speed indoor wireless access. Recently, mirror-based intelligent reflecting surface (IRS) has been introduced to OWC to enhance communication performance. However, traditional radio frequency IRS channel models fail to adapt optical features of OWC, and existing ideal optical models neglect some physical imperfections, leading to inaccurate performance evaluations in real-world deployments. To address this problem, this paper proposes a modified and more realistic IRS channel model. Distinct from ideal IRS channel, the proposed model employs a differential summation method to mathematically incorporate both geometric size constraints and random rotation angle errors of the IRS, thereby computing a more realistic IRS channel gain. Utilizing this modified channel model, we systematically evaluate and compare the relative communication performance under both single-input single-output (SISO) and multiple-input multiple-output (MIMO) systems. Simulation results demonstrate that IRS size variations and IRS rotation angle errors cause non-negligible negative impacts on MIMO-OWC systems, specifically leading to a loss in received optical power and a significant increase in inter-channel interference (ICI), thereby degrading overall system stability. In conclusion, the proposed modified channel model successfully demonstrates the realistic impacts and challenges of deploying IRS in practical OWC applications especially in MIMO setups. By capturing these results, this work provides a critical foundation and guidelines for the physical layout, hardware specifications, and robust beamforming design of future IRS-aided OWC systems.
SN  - 5 Articles Required
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 

@article{Zhong2026A,
  author = {Xin Zhong and Zhihong Zeng and Chen Chen},
  title = {A Modified IRS Channel Model for MIMO Optical Wireless Communications with Geometric Constraints and Alignment Errors},
  journal = {Optical Wireless Communication},
  year = {2026},
  volume = {1},
  number = {1},
  pages = {30-43},
  doi = {10.62762/OWC.2026.926601},
  url = {https://www.icck.org/article/abs/OWC.2026.926601},
  abstract = {Optical wireless communication (OWC) has emerged as a promising technology for high-speed indoor wireless access. Recently, mirror-based intelligent reflecting surface (IRS) has been introduced to OWC to enhance communication performance. However, traditional radio frequency IRS channel models fail to adapt optical features of OWC, and existing ideal optical models neglect some physical imperfections, leading to inaccurate performance evaluations in real-world deployments. To address this problem, this paper proposes a modified and more realistic IRS channel model. Distinct from ideal IRS channel, the proposed model employs a differential summation method to mathematically incorporate both geometric size constraints and random rotation angle errors of the IRS, thereby computing a more realistic IRS channel gain. Utilizing this modified channel model, we systematically evaluate and compare the relative communication performance under both single-input single-output (SISO) and multiple-input multiple-output (MIMO) systems. Simulation results demonstrate that IRS size variations and IRS rotation angle errors cause non-negligible negative impacts on MIMO-OWC systems, specifically leading to a loss in received optical power and a significant increase in inter-channel interference (ICI), thereby degrading overall system stability. In conclusion, the proposed modified channel model successfully demonstrates the realistic impacts and challenges of deploying IRS in practical OWC applications especially in MIMO setups. By capturing these results, this work provides a critical foundation and guidelines for the physical layout, hardware specifications, and robust beamforming design of future IRS-aided OWC systems.},
  keywords = {optical wireless communication, multiple-input multiple-output, intelligent reflecting surface, inter-channel interference},
  issn = {5 Articles Required},
  publisher = {Institute of Central Computation and Knowledge}
}