Skip to main content

Advertisement

SpringerLink
Log in

Magnetic border collie optimization-based power allocation in MIMO-NOMA-aided visible light communication system

  • Research Article
  • Published:
Journal of Optics Aims and scope Submit manuscript

Abstract

Visible light communication (VLC), in recent times, has drawn the attention of researchers owing to the availability of unlicensed spectrum, high bandwidth and low power consumption. Various approaches for allocation of power are already developed for the MIMO-NOMA-based radio frequency systems namely signal alignment, post detection, and hybrid precoding. However, these traditional techniques result into high computational complexity and cannot be directly applied to a VLC system, and hence, an effective power allocation approach with less computational complexity is an essential requirement of VLC system. In this paper, an effective power allocation scheme is presented which employs channel weighted optimal coefficients utilized in GRPA and NGDPA schemes. The optimal values of the weighted coefficients are estimated using the proposed MBCO algorithm. This MBCO algorithm is outlined by integrating the MOA (magnetic optimization algorithm) with border collie optimization (BCO) method, respectively. The performance obtained by the proposed W-GRPA-based MBCO and W-NGDPA-based MBCO in terms of achievable rate is 34.916Mbit/s and 83.811Mbit/s and in terms of sum rate is 197.63Mbit/s and 200.98Mbit/s, respectively. Simulation results clearly depict that when compared with the existing state-of-the-art schemes, the proposed power allocation method outperforms the existing popular GRPA and NGDPA schemes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  1. A. Ibrahim, T. Ismail, K. Elsayed, M.S. Darweesh, Odd clipping optical orthogonal frequency division multiplexing for VLC system. Int. J. Commun. Syst. (2019). https://doi.org/10.1002/dac.4150

    Article  Google Scholar 

  2. H. Wang, F. Wang, R. Li, Enhancing power allocation efficiency of NOMA aided-MIMO downlink VLC networks. Opt. Commun. 454, 124497 (2020)

    Article  Google Scholar 

  3. D. Karunatilaka, F. Zafar, V. Kalavally, R. Parthiban, LED based indoor visible light communications: state of the art. IEEE Commun. Surv. Tutor. 17(3), 1649–1678 (2015)

    Article  Google Scholar 

  4. Z. Na, Y. Wang, M. Xiong, X. Liu, J. Xia, Modeling and throughput analysis of an ADO-OFDM based relay-assisted VLC system for 5G networks. IEEE Access 6, 17586–17594 (2018)

    Article  Google Scholar 

  5. M.B. Rahaim, T.D. Little, Toward practical integration of dual-use VLC within 5G networks. IEEE Wirel. Commun. 22(4), 97–103 (2015)

    Article  Google Scholar 

  6. B. Gulbahar, S. Sencan, Wireless internet service providing for 5G with hybrid TV broadcast and visible light communications. In IEEE Wirel. Days 66–69 (2017)

  7. L. Feng, R.Q. Hu, J. Wang, P. Xu, Y. Qian, Applying VLC in 5G networks: architectures and key technologies. IEEE Netw 30(6), 77–83 (2016)

    Article  Google Scholar 

  8. S. Wu, H. Wang, C.H. Youn, Visible light communications for 5G wireless networking systems: from fixed to mobile communications. IEEE Netw. 28(6), 41–45 (2014)

    Article  Google Scholar 

  9. B. Lin, X. Tang, Z. Ghassemlooy, A power domain sparse code multiple access scheme for visible light communications. IEEE Wirel. Commun. Lett. 9(1), 61–64 (2019)

    Article  Google Scholar 

  10. L. Wu, Z. Zhang, J. Dang, H. Liu, Adaptive modulation schemes for visible light communications. J. Lightwave Tech. 33(1), 117–125 (2014)

    Article  ADS  Google Scholar 

  11. B. Lin, X. Tang, H. Yang, Z. Ghassemlooy, S. Zhang, Y. Li, C. Lin, Experimental demonstration of IFDMA for uplink visible light communication. IEEE Photon. Tech. Lett. 28(20), 2218–2220 (2016)

    Article  ADS  Google Scholar 

  12. C. Chen, W.D. Zhong, H. Yang, P. Du, On the performance of MIMO-NOMA-based visible light communication systems. IEEE Photon. Tech. Lett. 30(4), 307–310 (2018)

    Article  ADS  Google Scholar 

  13. Q. Zhao, J. Jiang, Y. Wang, J. Du, A low complexity power allocation scheme for NOMA-based indoor VLC systems. Opt. Commun. 463, 125383 (2020)

    Article  Google Scholar 

  14. B. Di, L. Song, Y. Li, Sub-channel assignment, power allocation, and user scheduling for non-orthogonal multiple access networks. IEEE Trans. Wirel. Commun. 15(11), 7686–7698 (2016)

    Article  Google Scholar 

  15. B. Lin, X. Tang, X.Z. Ghassemlooy, Optical power domain NOMA for visible light communications. IEEE Wirel. Commun. Lett. 8(4), 1260–1263 (2019)

    Article  Google Scholar 

  16. L. Lei, D. Yuan, C.K. Ho, S. Sun, Power and channel allocation for non-orthogonal multiple access in 5G systems: tractability and computation. IEEE Trans. Wirel. Commun. 15(12), 8580–8594 (2016)

    Article  Google Scholar 

  17. N.T. Le, Y.M. Jang, Resource allocation for multichannel broadcasting visible light communication. Opt. Commun. 355, 451–461 (2015)

    Article  ADS  Google Scholar 

  18. X. Liu, H. Yu, Y. Zhu, E. Zhang, Power allocation algorithm of optical MIMO NOMA visible light communications. In: IEEE 9th International Conference on Electronics Information and Emergency Communication (ICEIEC), 1–5 (2019)

  19. S. Feng, T. Bai, L. Hanzo, Joint power allocation for the multi-user NOMA-downlink in a power-line-fed VLC network. IEEE Trans. Veh. Tech. 68(5), 5185–5190 (2019)

    Article  Google Scholar 

  20. C. Chen, Y. Yang, X. Deng, P. Du, H. Yang, Z. Chen, W. D. Zhong, NOMA for MIMO Visible Light Communications: A Spatial Domain Perspective. In: IEEE Global Commun. Conf. (GLOBECOM), 1–6 (2019)

  21. S. Khaleelahmed, N. Venkateswara Rao, Energy efficient power allocation using salp particle swarm optimization model in MIMO–NOMA systems. Wirel. Pers. Commun. 111, 1–20 (2020)

    Article  Google Scholar 

  22. F. Fang, H. Zhang, J. Cheng, V.C. Leung, Energy-efficient resource allocation for downlink non-orthogonal multiple access network. IEEE Trans. Commun. 64(9), 3722–3732 (2016)

    Article  Google Scholar 

  23. R. C. Kizilirmak, C. R. Rowell, M. Uysal, Non-orthogonal multiple access (NOMA) for indoor visible light communications. In: IEEE 4th international workshop on optical wireless communications (IWOW), 98–101 (2015)

  24. H. Marshoud, V.M. Kapinas, G.K. Karagiannidis, S. Muhaidat, Non-orthogonal multiple access for visible light communications. IEEE Photon. Tech. Lett. 28(1), 51–54 (2015)

    Article  ADS  Google Scholar 

  25. M. Bibin Prasad, A. Suki Antely, "MCGA modified compact genetic algorithm for PAPR reduction in MIMO-OFDM system. J. Netw. Commun. Syst. 1(1), 10–18 (2018)

    Google Scholar 

  26. I. Veeraraghava Rao, V. Malleswara Rao, An enhanced whale optimization algorithm for massive MIMO system. J. Netw. Commun. Syst. 2(4), 12–22 (2019)

    Google Scholar 

  27. S. Mirjalili, S.Z.M. Hashim, BMOA: binary magnetic optimization algorithm. Int. J. Mach. Learn. Comput. 2(3), 204 (2012)

    Article  Google Scholar 

  28. T. Dutta, S. Bhattacharyya, S. Dey, J. Platos, Border collie optimization. IEEE Access 8, 109177–109197 (2020)

    Article  Google Scholar 

  29. M. Shuai, H. Yang, L. Hang, L. Songtao, Z. Fan, L. Shiyin, Optimal power allocation for mobile users in non-orthogonal multiple access and channel allocation for non-orthogonal multiple access visible light communication networks. IEEE Trans. Commun. (2018). https://doi.org/10.1109/TCOMM.2018.2885352

    Article  Google Scholar 

  30. A.H. Ahmed, C.S. Paschalis, M. Sami, A.-Q. Mahmoud, E. Hany, Non-orthogonal multiple access for Hybrid VLC-RF networks with imperfect channel state information. IEEE Trans. Veh. Tech. 70(1), 398–411 (2021)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India

    Naresh Kumar & Vineet Khandelwal

Authors
  1. Naresh Kumar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Vineet Khandelwal
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Naresh Kumar.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kumar, N., Khandelwal, V. Magnetic border collie optimization-based power allocation in MIMO-NOMA-aided visible light communication system. J Opt 52, 391–405 (2023). https://doi.org/10.1007/s12596-022-00919-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12596-022-00919-8

Keywords

Search

Navigation