Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
184 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
45 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Feasibility Conditions for Mobile LiFi (2312.13045v1)

Published 20 Dec 2023 in eess.SY and cs.SY

Abstract: Light fidelity (LiFi) is a potential key technology for future 6G networks. However, its feasibility of supporting mobile communications has not been fundamentally discussed. In this paper, we investigate the time-varying channel characteristics of mobile LiFi based on measured mobile phone rotation and movement data. Specifically, we define LiFi channel coherence time to evaluate the correlation of the channel timing sequence. Then, we derive the expression of LiFi transmission rate based on the m-pulse-amplitude-modulation (M-PAM). The derived rate expression indicates that mobile LiFi communications is feasible by using at least two photodiodes (PDs) with different orientations. Further, we propose two channel estimation schemes, and propose a LiFi channel tracking scheme to improve the communication performance. Finally, our experimental results show that the channel coherence time is on the order of tens of milliseconds, which indicates a relatively stable channel. In addition, based on the measured data, better communication performance can be realized in the multiple-input multiple-output (MIMO) scenario with a rate of 36Mbit/s, compared to other scenarios. The results also show that the proposed channel estimation and tracking schemes are effective in designing mobile LiFi systems.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (34)
  1. G. Forecast et al., “Cisco visual networking index: global mobile data traffic forecast update, 2017–2022,” Update, vol. 2017, pp. 2022, Feb. 2019.
  2. C. Zeyu, “6G, LIFI and WIFI wireless systems: Challenges, development and prospects,” in 18th International Computer Conference on Wavelet Active Media Technology and Information Processing, pp. 322–325, Dec. 2021.
  3. “Statistical delay and error-rate bounded qos provisioning for 6G murllc over aoi-driven and uav-enabled wireless networks,” in IEEE Conf. Comput. Commun., pp. 1–10, Jul. 2021.
  4. “Fractionally spaced equalizer for next generation terahertz wireless communication systems,” in 2021 IEEE International Conference on Communications Workshops (ICC Workshops), pp. 1–7, Jul. 2021.
  5. H. Haas, “Multi-Gigabit/s LiFi networking for 6G,” in 2021 IEEE CPMT Symposium Japan (ICSJ), pp. 25–26, Nov. 2021.
  6. “LiFi through reconfigurable intelligent surfaces: A new frontier for 6G?” IEEE Veh. Techno. Mag., vol. 17, no. 1, pp. 37–46, Mar. 2022.
  7. M. Uysal and H. Nouri, “Optical wireless communications–An emerging technology,” in Proc. 16th Int. Conf. Transparent Opt. Netw. (ICTON). IEEE, pp. 1–7, Jul. 2014.
  8. T. Komine and M. Nakagawa, “Fundamental analysis for visible light communication system using LED lights,” IEEE Trans. Consum. Electronics, vol. 50, no. 1, pp. 100–107, Feb. 2004.
  9. “Visible light communications for 5G wireless networking systems: from fixed to mobile communications,” IEEE Netw., vol. 28, no. 6, pp. 41–45, Dec. 2014.
  10. “What is LiFi?” J. Lightw. Technol., vol. 34, no. 6, pp. 1533–1544, Mar. 2015.
  11. “Indoor channel characteristics for visible light communications,” IEEE Commun. Lett., vol. 15, no. 2, pp. 217–219, Feb. 2011.
  12. “Invoking deep learning for joint estimation of indoor lifi user position and orientation,” IEEE J. Sel. Areas Commun., vol. 39, no. 9, pp. 2890–2905, Sep. 2021.
  13. “Realistic indoor hybrid WiFi and OFDMA-Based LiFi networks,” IEEE Trans. Commun., vol. 68, no. 5, pp. 2978–2991, May 2020.
  14. “Joint beamforming and PD orientation design for mobile visible light communications,” IEEE Trans. Wireless Commun., pp. 1–1, Dec. 2022.
  15. “Introduction to indoor networking concepts and challenges in LiFi,” Journal of Optical Communications and Networking, vol. 12, no. 2, pp. A190–A203, Feb. 2020.
  16. “Adaptive channel estimation in VLC for dynamic indoor environment,” in Proc. of International Conference on Transparent Optical Networks(ICTON), pp. 1–5, Jul. 2019.
  17. “Experimental demonstration of compressive sensing-based channel estimation for MIMO-OFDM VLC,” IEEE Wireless Commun. Lett., vol. 9, no. 7, pp. 1027–1030, Jul. 2020.
  18. “A tight upper bound on channel capacity for visible light communications,” IEEE Commun. Lett., vol. 20, no. 1, pp. 97–100, Nov. 2016.
  19. F. Miramirkhani and M. Uysal, “Channel modelling for indoor visible light communications,” Phil. Trans. Roy. Soc. A, vol. 378, no. 2169, pp. 20190187, Art. 2020.
  20. “Channel characterization and realization of mobile optical wireless communications,” IEEE Trans. Commun., vol. 68, no. 10, pp. 6426–6439, Oct. 2020.
  21. “A mobile channel model for VLC and application to adaptive system design,” IEEE Commun. Lett., vol. 21, no. 5, pp. 1035–1038, May 2017.
  22. “Bidirectional optical spatial modulation for mobile users: Toward a practical design for LiFi systems,” IEEE J. Sel. Areas Commun., vol. 37, no. 9, pp. 2069–2086, Sep. 2019.
  23. “Impact of random receiver orientation on visible light communications channel,” IEEE Trans. Commun., vol. 67, no. 2, pp. 1313–1325, Feb. 2019.
  24. “Modeling the random orientation of mobile devices: Measurement, analysis and LiFi use case,” IEEE Trans. Commun., vol. 67, no. 3, pp. 2157–2172, Mar. 2019.
  25. “Terminal orientation in OFDM-Based LiFi systems,” IEEE Trans. Wireless Commun., vol. 18, no. 8, pp. 4003–4016, Aug. 2019.
  26. “The movement-rotation (MR) correlation function and coherence distance of VLC channels,” J. Lightw. Technol., vol. 38, no. 24, pp. 6759–6770, Dec. 2020.
  27. D. Bykhovsky, “Coherence time evaluation in indoor optical wireless communication channels,” Sensors, vol. 20, no. 18, pp. 5067, Jul. 2020.
  28. “Visible light communication with input-dependent noise: Channel estimation, optimal receiver design and performance analysis,” J. Lightw. Technol., vol. 39, no. 23, pp. 7406–7416, Dec. 2021.
  29. “On performance analysis of LS and MMSE for channel estimation in VLC systems,” in Proc. IEEE 12th Int. Colloq. Signal Process. Appl., pp. 204–209, Mar. 2016.
  30. “Deep neural network method for channel estimation in visible light communication,” Opt.Commun., vol. 462, pp. 125272, Art. 2020.
  31. “LSTM-Based channel prediction for secure massive MIMO communications under imperfect CSI,” in 2020 IEEE International Conference on Communications (ICC), pp. 1–6, June 2020.
  32. “Learning indoor environment for effective LiFi communications: Signal detection and resource allocation,” IEEE Access, vol. 10, pp. 17400–17416, Feb. 2022.
  33. “A physical model of the wireless infrared communication channel,” IEEE J. Sel. Areas Commun., vol. 20, no. 3, pp. 631–640, Apr. 2002.
  34. “Ber analysis of NOMA-enabled visible light communication systems with different modulations,” IEEE Trans. Veh. Technol., vol. 68, no. 11, pp. 10807–10821, Nov. 2019.
Citations (3)
View on Semantic Scholar

Summary

We haven't generated a summary for this paper yet.

Ai Sparkles Streamline Icon: https://streamlinehq.com Summarize Now