BER analysis and enhanced SIC for photon-counting NOMA in photon-limited OWC

Optical wireless communication (OWC) has emerged as a promising complementary technology to radio frequency systems. Particularly, under photon-limited channel conditions, despite the advantages of single-photon avalanche diodes (SPADs), their performance is limited by dead time and lack of photon-number resolution (PNR), which degrade signal detection in multi-user non-orthogonal multiple access (NOMA) systems. In this paper, we propose what is believed to be a novel posterior-probability-based adjusted threshold-successive interference cancellation (AT-SIC) algorithm to mitigate error propagation and multi-user interference in practical SPAD-based NOMA systems. We develop a comprehensive mathematical framework that incorporates dead time and the lack of PNR effects to derive exact closed-form bit error rate (BER) expressions for both downlink and uplink NOMA over photon-counting channels. The proposed AT-SIC algorithm achieves near-optimal performance with significantly reduced computational complexity. The numerical results validate the accuracy of the analytical model and demonstrate the effectiveness of the proposed method under various channel and power allocation conditions. This study offers a valuable tool for the design and optimization of photon-counting NOMA systems.

Authors

Institutions

Publication Details

Journal
Optics Express
Published
2026-09-30
DOI
https://doi.org/10.1364/oe.607987
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

BER analysis and enhanced SIC for photon-counting NOMA in photon-limited OWC

xiaoyu zhao, Weifeng Mou, Wang Chen, Xin Zhang et al.
Optics Express
Advanced Wireless Communication Technologies
article

BER analysis and enhanced SIC for photon-counting NOMA in photon-limited OWC

xiaoyu zhao, Weifeng Mou, Wang Chen, Xin Zhang, Huatao Zhu
article en

Abstract

Optical wireless communication (OWC) has emerged as a promising complementary technology to radio frequency systems. Particularly, under photon-limited channel conditions, despite the advantages of single-photon avalanche diodes (SPADs), their performance is limited by dead time and lack of photon-number resolution (PNR), which degrade signal detection in multi-user non-orthogonal multiple access (NOMA) systems. In this paper, we propose what is believed to be a novel posterior-probability-based adjusted threshold-successive interference cancellation (AT-SIC) algorithm to mitigate error propagation and multi-user interference in practical SPAD-based NOMA systems. We develop a comprehensive mathematical framework that incorporates dead time and the lack of PNR effects to derive exact closed-form bit error rate (BER) expressions for both downlink and uplink NOMA over photon-counting channels. The proposed AT-SIC algorithm achieves near-optimal performance with significantly reduced computational complexity. The numerical results validate the accuracy of the analytical model and demonstrate the effectiveness of the proposed method under various channel and power allocation conditions. This study offers a valuable tool for the design and optimization of photon-counting NOMA systems.

Optics ExpressVol. 34(20)
Nanjing University (CN)
Openalex Percentile: Top 22%
Advanced Wireless Communication Technologies
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.

BER analysis and enhanced SIC for photon-counting NOMA in photon-limited OWC — xiaoyu zhao, Weifeng Mou, et al. · Optics Express (2026) | TGRS Research Map | TGRS