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Non-Orthogonal Multiple Access for Visible Light Communications (1504.00934v5)

Published 3 Apr 2015 in cs.IT, cs.ET, and math.IT

Abstract: The main limitation of visible light communication (VLC) is the narrow modulation bandwidth, which reduces the achievable data rates. In this paper, we apply the non-orthogonal multiple access (NOMA) scheme to enhance the achievable throughput in high-rate VLC downlink networks. We first propose a novel gain ratio power allocation (GRPA) strategy that takes into account the users' channel conditions to ensure efficient and fair power allocation. Our results indicate that GRPA significantly enhances system performance compared to the static power allocation. We also study the effect of tuning the transmission angles of the light emitting diodes (LEDs) and the field of views (FOVs) of the receivers, and demonstrate that these parameters can offer new degrees of freedom to boost NOMA performance. Simulation results reveal that NOMA is a promising multiple access scheme for the downlink of VLC networks.

Citations (341)

Summary

  • The paper proposes a novel GRPA that significantly improves throughput and BER performance compared to static power allocation.
  • It optimizes VLC performance by tuning LED angles and photodetector FOVs to reduce interference and enhance spectral efficiency.
  • Simulations in realistic indoor scenarios validate NOMA’s effectiveness in supporting more users and enabling robust channel estimation.

Evaluating Non-Orthogonal Multiple Access for Visible Light Communications

The paper addresses a significant limitation in visible light communication (VLC) systems, namely their narrow modulation bandwidth, which, in turn, restricts achievable data rates. To mitigate this limitation, the authors propose the use of the non-orthogonal multiple access (NOMA) scheme, specifically for enhancing throughput in high-rate VLC downlink networks.

Proposed Techniques and Contributions

  1. Gain Ratio Power Allocation (GRPA):
    • The authors propose a novel GRPA strategy for power allocation, which adapts based on users' channel conditions. This method contrasts with static power allocation and is shown to significantly enhance system performance by maximizing users' sum rate.
    • Numerical simulations reveal that GRPA provides superior bit error rate (BER) performance compared to static power allocation, especially under scenarios where the BER target is 10310^{-3}. GRPA enables service for more users (6 versus 4) at the same BER level, demonstrating its effectiveness in accommodating users under adverse channel conditions.
  2. Variable Parameters for Optimization:
    • The paper explores the optimization of VLC system performance through tuning parameters such as transmission angles of LEDs and the field of views (FOVs) of photo detectors (PDs).
    • Results illustrate that well-designed adjustments in transmission angles and FOVs can reduce interference and better exploit channel gain differences, thus offering new degrees of freedom for enhancing spectral efficiency.
  3. Realistic Indoor Multi-LED Scenario:
    • A realistic indoor environment, such as a conference room or library, is considered, with overlapping beams from multiple LEDs. This setup models complex interactions of light paths, user mobility, and spatial positioning.
    • To simulate realistic user movements, a Random Walk Mobility Model is adopted, which involves user relocation within a specified direction and speed range.

Implications and Future Directions

The application of NOMA in VLC systems presents several theoretical and practical benefits. Theoretically, the use of NOMA in VLC showcases marked improvements in spectral efficiency, especially in high signal-to-noise ratio (SNR) conditions, which are natural to VLC environments due to LOS paths and proximity between emitters and receivers. Practically, NOMA provides an efficient multiplexing strategy conducive to room-sized VLC cells typically accommodating few users.

This paper advances the NOMA-VLC framework by aligning it with the deterministic nature of indoor VLC channels, allowing for robust channel estimation and user association strategies. The demonstrated methodology may lead future developments toward more refined power allocation algorithms and hardware optimizations, potentially extending to diversified indoor environments such as retail and industrial settings.

Conclusion

In summary, this research accentuates the viability of NOMA to enhance the throughput of VLC systems and proposes an innovative power allocation method that is both adaptive and efficient. By providing a comprehensive framework that considers channel conditions, user mobility, and system parameters, this paper lays the groundwork for future implementations and refinements in the context of indoor VLC networks. The results imply that with advanced power allocation and system design, VLC systems can meaningfully benefit from the integration of NOMA technologies.