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Improving the Resource Efficiency in Massive MIMO-NOMA Systems

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Abstract

This work discusses a cluster-based non-orthogonal multiple access (NOMA) structures aiming at improving the system energy efficiency (EE) and spectral efficiency (SE) in a Massive MIMO (M-MIMO) cell through user clustering and power allocation strategies. Effectively, this work proposes an improved clustering-based NOMA M-MIMO structure under the EE-SE perspective combining the EE and SE performance metrics. In the considered power-domain NOMA M-MIMO configuration, the users are grouped into several clusters; hence, each beamformer serves the users at a specific cluster. The EE-SE tradeoff, namely resource efficiency figure of merit in a cluster-based downlink NOMA M-MIMO is evaluated considering the application of two power allocation strategies. Based on two different channel cluster-head selection strategies, namely the equivalent channel vectors (Type I) and the channel matrix singular value decomposition (SVD) (Type II), the cluster-head in each cluster can tremendously mitigate the intra-cluster interference. Numerical results demonstrate that the best system performance regarding EE-SE tradeoff occurs for MIMO NOMA Type I cluster-head selection with two users per cluster.

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Data Availability

The datasets used or generated by the authors will be available under request.

Notes

  1. Devices’ loading is the ratio between the number of mobile users and the number of BS antennas.

  2. Multiuser detection (MuD) implies additional power consumption and signal processing burden at UE terminal, despite the MuD ability to mitigate the inter-cluster interference at the UE device. Moreover, with single-user detection (SuD) in the NOMA context, we mean that only the data streams of users in the same cluster can be decoded and removed via SIC.

  3. Aligned in terms of specific BS direction or angle of arrival/departure (AoA/AoD).

References

  1. Wong, V., Schober, R., Ng, D., Wang, L.: Key technologies for 5G wireless systems. Cambridge University Press, Cambridge (2017)

    Book  Google Scholar 

  2. Luo, F., Zhang, C.: Signal processing for 5G: algorithms and implementations ser. Wiley - IEEE, Hoboken (2016)

    Book  Google Scholar 

  3. Ding, Z., Lei, X., Karagiannidis, G.K., Schober, R., Yuan, J., Bhargava, V.K.: A survey on non-orthogonal multiple access for 5g networks: research challenges and future trends. IEEE J. Sel. Areas Commun. 35(10), 2181–2195 (2017)

    Article  Google Scholar 

  4. Liu, Y., Xing, H., Pan, C., Nallanathan, A., Elkashlan, M., Hanzo, L.: Multiple-antenna-assisted non-orthogonal multiple access. IEEE Wirel. Commun. 25(2), 17–23 (2018)

    Article  Google Scholar 

  5. Tang, J., So, D.K.C., Alsusa, E., Hamdi, K.A.: Resource efficiency: a new paradigm on energy efficiency and spectral efficiency tradeoff. IEEE Trans. Wirel. Commun. 13(8), 4656–4669 (2014)

    Article  Google Scholar 

  6. Huang, Y., He, S., Wang, J., Zhu, J.: Spectral and energy efficiency tradeoff for massive MIMO. IEEE Trans. Vehicular Technol. 67(8), 6991–7002 (2018). https://doi.org/10.1109/TVT.2018.2824311

    Article  Google Scholar 

  7. Glei, N., Chibani, R. B.: Energy-efficient resource allocation for NOMA systems, In: 2019 16th International Multi-Conference on Systems, Signals Devices (SSD), pp. 648–651 (2019)

  8. Selvam, K., Kumar, K.: Energy and spectrum efficiency trade-off of non-orthogonal multiple access (NOMA) over OFDMA for machine-to-machine communication, In: 2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM), vol. 1, pp. 523–528 (2019)

  9. Tang, J., Luo, J., Liu, M., So, D.K.C., Alsusa, E., Chen, G., Wong, K., Chambers, J.A.: Energy efficiency optimization for NOMA with SWIPT. IEEE J. Sel. Topics Signal Process. 13(3), 452–466 (2019)

    Article  Google Scholar 

  10. Wang, Z., Lin, Z., Lv, T., Ni, W.: Energy-efficient resource allocation in massive MIMO-NOMA networks with wireless power transfer: a distributed ADMM approach. IEEE Int. Things J. 8(18), 14 232-14 247 (2021)

    Article  Google Scholar 

  11. Jacob, J.L., Panazio, C.M., Abrão, T.: Energy and spectral efficiencies trade-off in MIMO-NOMA system under user-rate fairness and variable user per cluster. Phys. Commun. 47, 101348 (2021)

    Article  Google Scholar 

  12. Alves, T.A.B., Abrão, T.: Massive MIMO and NOMA bits-per-antenna efficiency under power allocation policies. Phys. Commun. 51, 101588 (2022)

    Article  Google Scholar 

  13. Khan, W.U., Jameel, F., Ristaniemi, T., Khan, S., Sidhu, G.A.S., Liu, J.: Joint spectral and energy efficiency optimization for downlink NOMA networks. IEEE Trans. Cognitive Commun. Netw. 2, 1 (2019)

    Google Scholar 

  14. Saggese, F., Moretti, M., Abrardo, A.: A quasi-optimal clustering algorithm for MIMO-NOMA downlink systems. IEEE Wirel. Commun. Lett. 9(2), 152–156 (2020). https://doi.org/10.1109/LWC.2019.2946548

    Article  Google Scholar 

  15. Kimy, B., Lim, S., Kim, H., Suh, S., Kwun, J., Choi, S., Lee, C., Lee, S., Hong, D.: “Non-orthogonal multiple access in a downlink multiuser beamforming system,” In: MILCOM 2013 - 2013 IEEE Military Communications Conference, pp. 1278–1283 (2013)

  16. Ali, S., Hossain, E., Kim, D.I.: Non-orthogonal multiple access (NOMA) for downlink multiuser MIMO systems: user clustering, beamforming, and power allocation. IEEE Access 5, 565–577 (2017)

    Article  Google Scholar 

  17. Spencer, Q.H., Swindlehurst, A.L., Haardt, M.: Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels. IEEE Trans. Signal Process. 52(2), 461–471 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  18. Muharar, R., Evans, J.: Optimal power allocation for multiuser transmit beamforming via regularized channel inversion, In: 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), pp. 1393–1397 (2011)

  19. Peel, C.B., Hochwald, B.M., Swindlehurst, A.L.: A vector-perturbation technique for near-capacity multiantenna multiuser communication-part i: channel inversion and regularization. IEEE Trans. Commun. 53(1), 195–202 (2005)

    Article  Google Scholar 

  20. Hoydis, J., ten Brink, S., Debbah, M.: Massive MIMO in the ul/dl of cellular networks: how many antennas do we need? IEEE J. Selected Areas Commun. 31(2), 160–171 (2013)

    Article  Google Scholar 

  21. Wagner, S., Couillet, R., Debbah, M., Slock, D.T.M.: Large system analysis of linear precoding in correlated miso broadcast channels under limited feedback. IEEE Trans. Information Theory 58(7), 4509–4537 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  22. Muharar, R.: Multiuser precoding in wireless communication systems. Ph.D. Dissertation, The University of Melbourne, Department of Electrical and Electronic Engineering (2012)

  23. Ali, M.S., Tabassum, H., Hossain, E.: Dynamic user clustering and power allocation for uplink and downlink non-orthogonal multiple access (NOMA) systems. IEEE Access 4, 6325–6343 (2016)

    Google Scholar 

  24. Ali, M.S., Hossain, E., Kim, D.I.: Non-orthogonal multiple access (NOMA) for downlink multiuser MIMO systems: user clustering, beamforming, and power allocation. IEEE Access 5, 565–577 (2017)

    Article  Google Scholar 

  25. Zafari, F., Gkelias, A., Leung, K.K.: A survey of indoor localization systems and technologies. IEEE Commun. Surveys Tutor. 21(3), 2568–2599 (2019)

    Article  Google Scholar 

  26. Mohamed, E.M.: Joint users selection and beamforming in downlink milimetre-wave NOMA based on users positioning. IET Commun. 14(8), 1234–1240 (2020)

    Article  Google Scholar 

  27. El-Sayed, M. M., Ibrahim, A. S., Khairy, M. M.: Power allocation strategies for non-orthogonal multiple access, In: 2016 International Conference on Selected Topics in Mobile Wireless Networking (MoWNeT), pp. 1–6 (April 2016)

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Funding

This work was supported in part by the National Council for Scientific and Technological Development (CNPq) of Brazil under Grants 304066/2015-0, 310681/2019-7, and in part by the Londrina State University - Paraná State Government (UEL).

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Authors and Affiliations

  1. Department of Electrical Engineering, State University of Londrina (DEEL-UEL), Rod. Celso Garcia Cid - PR445, Po.Box 10.011, Londrina, PR, 86057-970, Brazil

    Karina Bernardin Rosa & Taufik Abrão

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  1. Karina Bernardin Rosa
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  2. Taufik Abrão
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All authors whose names appear on the submission. Made substantial contributions to the conception or design of the work; the acquisition, analysis, or interpretation of data; or the creation of new software used in this work; drafted the work or revised it critically for important intellectual content; approved the version to be published; and agrees to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

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Correspondence to Taufik Abrão.

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Rosa, K.B., Abrão, T. Improving the Resource Efficiency in Massive MIMO-NOMA Systems. J Netw Syst Manage 31, 74 (2023). https://doi.org/10.1007/s10922-023-09764-x

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