Joint angle-diversity SDMA, OFDMA, and strict FFR framework for dense LiFi attocell networks

Dense deployment of LiFi and visible light communication attocells increases sensitivity to inter-cell interference, requiring coordinated interference and resource management. Angle-diversity transmitters (ADTs) for space-division multiple access (SDMA), OFDMA allocation, and fractional frequency reuse (FFR) have been studied separately under inconsistent assumptions, making it difficult to separate reuse-driven from activity- and resource-sharing effects. This work presents a protocol-level framework that unifies ADT-enabled SDMA, OFDMA, and strict FFR within an intensity-modulation direct-detection DCO-OFDM model. Each macrocell is served by a co-located multi-beam ADT defining beam-based microcells; users are classified as center or edge, and protected edge sub-bands are assigned using adjacency-aware graph coloring. Full-load and random-one-per-region regimes are evaluated in 10,000-trial Monte Carlo simulations with sensitivity sweeps over center-edge partitioning and user density. Both regimes achieve a mean SINR of about 28 dB, with no outage observed at 10 or 20 dB in the finite LOS sample. A dynamic extension incorporating mobility, receiver-orientation variation, a parametric first-order NLOS stress model, and variable multi-user OFDMA admission shows that OMN-PF improves edge-frame service success over conventional PF, while OMN-PF-A further improves high-threshold edge reliability with similar scheduled spectral efficiency. The framework provides a reproducible benchmark for dense LiFi resource management.

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Publication Details

Journal
Scientific Reports
Published
2026-08-14
DOI
https://doi.org/10.1038/s41598-026-65724-w
Primary Topic
Optical Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Joint angle-diversity SDMA, OFDMA, and strict FFR framework for dense LiFi attocell networks

Nagwa M. Omar, Hosny Ibrahim, Mostafa Mohamed, Ali H. Ahmed
Scientific Reports
Optical Wireless Communication Technologies
article

Joint angle-diversity SDMA, OFDMA, and strict FFR framework for dense LiFi attocell networks

Nagwa M. Omar, Hosny Ibrahim, Mostafa Mohamed, Ali H. Ahmed
article en

Abstract

Dense deployment of LiFi and visible light communication attocells increases sensitivity to inter-cell interference, requiring coordinated interference and resource management. Angle-diversity transmitters (ADTs) for space-division multiple access (SDMA), OFDMA allocation, and fractional frequency reuse (FFR) have been studied separately under inconsistent assumptions, making it difficult to separate reuse-driven from activity- and resource-sharing effects. This work presents a protocol-level framework that unifies ADT-enabled SDMA, OFDMA, and strict FFR within an intensity-modulation direct-detection DCO-OFDM model. Each macrocell is served by a co-located multi-beam ADT defining beam-based microcells; users are classified as center or edge, and protected edge sub-bands are assigned using adjacency-aware graph coloring. Full-load and random-one-per-region regimes are evaluated in 10,000-trial Monte Carlo simulations with sensitivity sweeps over center-edge partitioning and user density. Both regimes achieve a mean SINR of about 28 dB, with no outage observed at 10 or 20 dB in the finite LOS sample. A dynamic extension incorporating mobility, receiver-orientation variation, a parametric first-order NLOS stress model, and variable multi-user OFDMA admission shows that OMN-PF improves edge-frame service success over conventional PF, while OMN-PF-A further improves high-threshold edge reliability with similar scheduled spectral efficiency. The framework provides a reproducible benchmark for dense LiFi resource management.

Scientific ReportsVol. 16(1)
Assiut University (EG)
Science and Technology Development Fund, Assiut University
Decent work and economic growth
Openalex Percentile: Top 18%
Optical Wireless Communication Technologies
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Joint angle-diversity SDMA, OFDMA, and strict FFR framework for dense LiFi attocell networks — Nagwa M. Omar, Hosny Ibrahim, et al. · Scientific Reports (2026) | TGRS Research Map | TGRS