Smart Element Allocation Strategies for Dynamic Optical IRS in Underwater Wireless Communication

Optical intelligent reflecting surfaces (OIRSs) represent a paradigm shift towards improving the optical wireless communications capabilities. The application of this developing technology in the field of underwater wireless communication (UWC) systems is a promising way to overcome the limitations associated with such challenging environments. In this research, we analyze the performance improvement provided by OIRS in the context of non-line-of-sight (NLOS) underwater wireless optical communication (UWOC). The OIRS support multiple users by grouping and allocating different OIRS elements to different users based on their distance from the transmitter. To increase the aggregate spectral efficiency (ASE) and preserve user fairness, techniques based on equal mirror assignment (EMA) and distance-based mirror assignment (DMA) are presented. The outcomes are evaluated against conventional orthogonal multiple access (OMA), non-orthogonal multiple access (NOMA) and rate split multiple access (RSMA) schemes for UWOC. The performance variation of the overall system is also analyzed with respect to the ocean depth. We have also derived the analytical expressions for the probability density function (PDF) of the signal-to-noise ratio (SNR) considering exponential and generalized gamma (EGG) turbulent model and zero bore-sight model for pointing errors. We use Monte-Carlo simulation results to validate our analytical expressions. Furthermore, an asymptotic analysis of average spectral efficiency is performed to provide a deeper understanding of the proposed system's performance at high SNR. From the results obtained, it is analyzed that proposed DMA based scheme outperforms the EMA, OMA, NOMA and RSMA even with a large number of users. Furthermore, it is shown that the system performance improves with the oceanic depth. The results of this work provide valuable insights for the design of UWOC systems in challenging underwater environments.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2024-11-06
DOI
https://doi.org/10.1109/tvt.2024.3492284
Citations
5
Primary Topic
Optical Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
1.04
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smart Element Allocation Strategies for Dynamic Optical IRS in Underwater Wireless Communication

Anand Srivastava, Vivek Ashok Bohara, Rehana Salam
5 citations
IEEE Transactions on Vehicular Technology
Optical Wireless Communication Technologies
1.04
article

Smart Element Allocation Strategies for Dynamic Optical IRS in Underwater Wireless Communication

Anand Srivastava, Vivek Ashok Bohara, Rehana Salam
article en
5 citations

Abstract

Optical intelligent reflecting surfaces (OIRSs) represent a paradigm shift towards improving the optical wireless communications capabilities. The application of this developing technology in the field of underwater wireless communication (UWC) systems is a promising way to overcome the limitations associated with such challenging environments. In this research, we analyze the performance improvement provided by OIRS in the context of non-line-of-sight (NLOS) underwater wireless optical communication (UWOC). The OIRS support multiple users by grouping and allocating different OIRS elements to different users based on their distance from the transmitter. To increase the aggregate spectral efficiency (ASE) and preserve user fairness, techniques based on equal mirror assignment (EMA) and distance-based mirror assignment (DMA) are presented. The outcomes are evaluated against conventional orthogonal multiple access (OMA), non-orthogonal multiple access (NOMA) and rate split multiple access (RSMA) schemes for UWOC. The performance variation of the overall system is also analyzed with respect to the ocean depth. We have also derived the analytical expressions for the probability density function (PDF) of the signal-to-noise ratio (SNR) considering exponential and generalized gamma (EGG) turbulent model and zero bore-sight model for pointing errors. We use Monte-Carlo simulation results to validate our analytical expressions. Furthermore, an asymptotic analysis of average spectral efficiency is performed to provide a deeper understanding of the proposed system's performance at high SNR. From the results obtained, it is analyzed that proposed DMA based scheme outperforms the EMA, OMA, NOMA and RSMA even with a large number of users. Furthermore, it is shown that the system performance improves with the oceanic depth. The results of this work provide valuable insights for the design of UWOC systems in challenging underwater environments.

IEEE Transactions on Vehicular TechnologyVol. 74(3)
Indraprastha Institute of Information Technology Delhi (IN), Indian Institute of Technology Delhi (IN)
Openalex Percentile: Top 22%
Optical Wireless Communication Technologies
1.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.