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Journals / Sakarya University Journal of Science / 2022 / Cilt: 26 Sayı: 5

Performance Analysis of MIMO Techniques for a Pyramid Receiver in an Indoor MIMO-VLC System

Aamir Ullah KHAN
Sultan ALDIRMAZ ÇOLAK
Yasin ÇELİK
Pages
942–955
Publication Date
2022-10-20
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results show that an SMP-employed MIMO-VLC system outperforms the RC-employed MIMO-VLC system.

📌 3 Key Takeaways

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Objective & Hypothesis:In an indoor multiple-input multiple-output (MIMO) visible light communication (VLC) system, line of sight (LoS) channel links are present between a light-emitting diode (LED) based transmitter and a photodetector (PD) based receiver.
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Key Findings & Data:To overcome channel correlation and improve the performance of the MIMO-VLC system, angle diversity receivers (ADRs) are commonly employed.
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Conclusion & Impact:The results show that an SMP-employed MIMO-VLC system outperforms the RC-employed MIMO-VLC system.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:angle diversity receiver · optical wireless communication · pyramid receiver

Abstract

In an indoor multiple-input multiple-output (MIMO) visible light communication (VLC) system, line of sight (LoS) channel links are present between a light-emitting diode (LED) based transmitter and a photodetector (PD) based receiver. The PDs in the receiver are closely packed resulting in a high channel correlation. To overcome channel correlation and improve the performance of the MIMO-VLC system, angle diversity receivers (ADRs) are commonly employed. The channel matrix entries depend on the normal vectors of the PDs, which in turn depend on the elevation angle (EA) of the PDs. Thus, by having normal vectors pointing in different directions, the channel correlation can be considerably reduced. This paper considers a special type of ADR called pyramid receiver (PR) and employs a 4x4 MIMO-VLC system. In this paper, different MIMO algorithms such as repetition coding (RC) and spatial multiplexing (SMP) are considered to exhibit and compare the bit-error-rate (BER) performance of the fixed and variable EA MIMO-VLC systems. The results show that an SMP-employed MIMO-VLC system outperforms the RC-employed MIMO-VLC system. SMP results in an spatial multiplexing gain that varies linearly with the number of LEDs whereas RC does not yield any spatial multiplexing gain. To attain the same spectral efficiency i.e. 4 bit/s/Hz, a larger signal constellation size is required for RC employed MIMO-VLC system to achieve the same BER as of an SMP employed MIMO-VLC system. Similarly, the BER performance of variable EA MIMO-VLC systems is better as compared to fixed EA MIMO-VLC systems.

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Cite This Article

KHAN, A. U., ÇOLAK, S. A., ÇELİK, Y. (2022). Performance Analysis of MIMO Techniques for a Pyramid Receiver in an Indoor MIMO-VLC System. Sakarya University Journal of Science, Cilt: 26 Sayı: 5, 942–955. https://ajindex.com/articles/940634

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References (12)

  1. L. Hanzo, H. Haas, S. Imre, D. O’Brien, M. Rupp, L. Gyongyosi, “Wireless myths, realities, and futures: From 3G/4G to optical and quantum wireless,” Proceedings of the IEEE, vol. 100, no. SPL CONTENT, pp. 1853–1888, 2012
  2. Cisco, “Cisco visual networking index (VNI) global mobile data traffic forecast update, 2017-2022 white paper,” Ca, Usa, pp. 3–5, 2019
  3. O. Ergul, E. Dinc, O. B. Akan, “Communicate to illuminate: State-of-the-art and research challenges for visible light communications,” Physical Communication, vol. 17, pp. 72–85, 2015
  4. D. C. O’Brien, L. Zeng, H. Le-Minh, G. Faulkner, J. W. Walewski, S. Randel, “Visible Light Communications: Challenges and possibilities,” IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, no. June 2014, 2008
  5. W. De Zhong, C. Chen, H. Yang, P. Du, “Performance analysis of angle diversity multi-element receiver in indoor multi-cell visible light communication systems,” International Conference on Transparent Optical Networks, vol. 1, pp. 2–5, 2017
  6. Z. Zhan, M. Zhang, D. Han, P. Luo, X. Tang, Z. Ghassemlooy, L. Lang, “1.2 Gbps non-imaging MIMO-OFDM scheme based VLC over indoor lighting LED arrangments,” Opto-Electronics Communication Conference, OECC 2015, pp. 3–5, 2015
  7. Z. Chen, N. Serafimovski, H. Haas, “Angle diversity for an indoor cellular visible light communication system,” IEEE Vehicular Technology Conference, vol. 2015, no. January, pp. 0–4, 2014
  8. S. D. Dissanayake, J. Armstrong, “Comparison of ACO-OFDM, DCO-OFDM and ADO-OFDM in IM / DD Systems,” Journal of Lightwave Technology, vol. 31, no. 7, pp. 1063–1072, 2013
  9. P. Fahamuel, J. Thompson, H. Haas, “Improved indoor VLC MIMO channel capacity using mobile receiver with angular diversity detectors,” IEEE Global Communications Conference 2014, pp. 2060–2065, 2014
  10. O. Narmanlioglu, R. C. Kizilirmak, T. Baykas, M. Uysal, “Link adaptation for MIMO OFDM visible light communication systems,” IEEE Access, vol. 5, pp. 26006–26014, 2017
  11. P. F. Mmbaga, J. Thompson, H. Haas, “Performance analysis of indoor diffuse VLC MIMO channels using angular diversity detectors,” Journal of Lightwave Technology, vol. 34, no. 4, pp. 1254–1266, 2016
  12. A. A. Purwita, A. Yesilkaya, I. Tavakkolnia, M. Safari, H. Haas, “Effects of Irregular Photodiode Configurations for Indoor MIMO VLC with Mobile Users,” IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, vol. 2019-Septembe