Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 90 tok/s
Gemini 2.5 Pro 29 tok/s Pro
GPT-5 Medium 14 tok/s Pro
GPT-5 High 17 tok/s Pro
GPT-4o 101 tok/s Pro
Kimi K2 195 tok/s Pro
GPT OSS 120B 456 tok/s Pro
Claude Sonnet 4 39 tok/s Pro
2000 character limit reached

Capacity-achieving and Flicker-free FEC coding scheme for Dimmable Visible Light Communication Based on Polar Codes (1608.07202v1)

Published 25 Aug 2016 in cs.IT and math.IT

Abstract: Visible light communication (VLC) could provide short-range optical wireless communication together with illumination using LED lighting. However, conventional forward error correction (FEC) codes for reliable communication do not have the features for dimming support and flicker mitigation which are required in VLC for the main functionality of lighting. Therefore, auxiliary coding techniques are usually needed, which eventually reduce the coding efficiency and increase the complexity. In this paper, a polar codes-based FEC coding scheme for dimmable VLC is proposed to increase the coding efficiency and simplify the coding structure. Experimental results show that the proposed scheme has the following advantages: 1) equal probability of 1's and 0's in codewords, which is inherently supporting 50% dimming balance; 2) short run length property (about 90% bits have runs shorter than 5) which can avoid flickers and additional run-length limited line coding; 3) higher coding efficiency about twofold than that of other coding schemes; 4) capacity achieving error correction performance with low-complexity encoding and decoding, which is about 3 dB higher coding gain than that of RS(64,32) in IEEE standard for dimming ratio 50% and about 1 dB higher coding gain than that of LDPC codes for dimming ratio 25% (or 75%).

Citations (207)

Summary

  • The paper presents a polar code-based FEC scheme for VLC that inherently supports 50% dimming balance and features a short run length property to mitigate flicker.
  • The proposed scheme achieves approximately double the coding efficiency and offers higher coding gains (3 dB over RS, 1 dB over LDPC) compared to existing methods.
  • This approach simplifies system design by eliminating auxiliary coding processes, making it highly suitable for practical, real-time IoT and industrial VLC applications.

Overview of Capacity-Achieving and Flicker-Free FEC Coding Scheme for Dimmable Visible Light Communication Based on Polar Codes

The paper presents a forward error correction (FEC) coding scheme for visible light communication (VLC) that utilizes polar codes. The primary motivation is to enhance coding efficiency while addressing inherent VLC challenges such as dimming support and flicker mitigation using light-emitting diode (LED) lighting. The traditional FEC codes do not inherently support these functionalities, leading to additional coding complexities and reduced efficiency when supplementary techniques are employed.

Key Contributions and Results

The polar codes-based FEC scheme proposed in the paper demonstrates significant advantages over existing coding techniques:

  1. 50% Dimming Balance: The coding scheme ensures equal probability of ones and zeros in each codeword, naturally supporting a 50% dimming balance. This balance is essential for maintaining consistent light intensity during data transmission.
  2. Short Run Length Property: Approximately 90% of the bits in the proposed scheme feature runs shorter than 5 bits. This characteristic inherently prevents flickers, negating the need for additional run-length limited line coding.
  3. Higher Coding Efficiency: The paper reports an approximate twofold increase in coding efficiency compared to alternative methods. The scheme attains capacity-achieving error correction with low complexity encoding and decoding processes.
  4. Superior Error Correction Performance: The proposal claims about a 3 dB higher coding gain than Reed-Solomon (RS) codes at a 50% dimming ratio and a 1 dB improvement over Low-Density Parity Check (LDPC) codes at dimming ratios of 25% and 75%.

Implications and Future Directions

The work outlines a significant step towards more efficient VLC systems by leveraging polar codes. The implications include:

  • Practical Applications: The inherent flicker-free and dimming-supportive nature of the proposed scheme reduces system complexity and increases spectral efficiency, making the protocol highly suitable for real-time IoT and industrial applications using VLC.
  • Simplified System Design: By eliminating auxiliary coding processes, the overall system design is streamlined, potentially reducing hardware and processing demands.
  • Theoretical Advancements: The findings suggest a move towards achieving the theoretical capacity limits of BSC and BIAWGNC channels for VLC technologies. This could catalyze further research on optimizations in the channel modulation and coding strategies within different lighting environments.
  • Adaptability across Environments: As VLC is considered a viable augmentation for 5G communication systems, the proposed scheme's potential adaptability to various channel conditions could be a significant asset in diverse settings.

Conclusion

The paper effectively introduces a novel FEC coding scheme using polar codes that enhances VLC performance by integrating seamless dimming and flicker mitigations while maintaining high coding efficiency. The insights and results provide a promising direction for future research and development in optical wireless communication technologies, specifically targeting the interplay between illumination and data transmission. These contributions position polar codes as a potent tool in advancing the robustness and practicality of VLC systems.

Lightbulb On Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube