Performance analysis of multi user MIMO NOMA network with hierarchical clustering

References

• Alavi, F., Cumanan, K., Ding, Z., & Burr, A. G. (2017). Robust beamforming techniques for non-orthogonal multiple access systems with bounded channel uncertainties. IEEE Communications Letters, 21(9), 2033–2036. https://doi.org/10.1109/LCOMM.2017.2702580
   Web of Science ®Google Scholar
• Ali, S., Hossain, E., & Kim, D. I. (2016). Non-orthogonal multiple access (NOMA) for downlink multiuser mimo systems: User clustering, beamforming, and power allocation. IEEE Access, 5, 565–577. https://doi.org/10.1109/ACCESS.2016.2646183
   Web of Science ®Google Scholar
• Al-Imari, M., Xiao, P., Imran, M. A., & Tafazolli, R. (2014). Uplink non-orthogonal multiple access for 5G wireless networks. In 2014 11th international symposium on wireless communications systems (ISWCS) (pp. 781–785).
   Google Scholar
• Ali, M. S., Tabassum, H., & Hossain, E. (2016). Dynamic user clustering and power allocation for uplink and downlink non-orthogonal multiple access (NOMA) systems. IEEE Access, 4(4), 6325–6343.
   Web of Science ®Google Scholar
• Ben Issaid, C., Antón-Haro, C., Mestre, X., & Alouini, M.-S. (2020). User clustering for MIMO NOMA via classifier chains and gradient-boosting decision trees. IEEE Access, 8, 211411–211421. https://doi.org/10.1109/ACCESS.2020.3038490
   Web of Science ®Google Scholar
• Bepari, D., Mondal, S., Chandra, A., Shukla, R., Liu, Y., Guizani, M., & Nallanathan, A. (2022). A survey on cache-aided NOMA for 6G networks. arXiv preprint arXiv:2205.05321. https://doi.org/10.48550/arXiv.2205.05321
   Google Scholar
• Cabrera, E., & Vesilo, R. (2018). An enhanced k-means clustering algorithm with non- orthogonal multiple access (NOMA) for mmc networks. In 2018 28th international telecommunication networks and applications conference (ITNAC) (pp. 1–8).
   Google Scholar
• Chen, S., Peng, K., & Jin, H. (2015). A suboptimal scheme for uplink noma in 5G systems. In 2015 International wireless communications and mobile computing conference (IWCMC) (pp. 1429–1434).
   Google Scholar
• Chen, G., Qiu, L., & Ren, C. (2020). On the performance of cluster-based MIMO-NOMA in multi-cell dense networks. IEEE Transactions on Communications, 68(8), 4773–4787. https://doi.org/10.1109/TCOMM.2020.2988680
   Web of Science ®Google Scholar
• Cui, J., Ding, Z., Fan, P., & Al-Dhahir, N. (2018). Unsupervised machine learning-based user clustering in millimeter-wave-NOMA systems. IEEE Transactions on Wireless Communi- Cations, 17(11), 7425–7440. https://doi.org/10.1109/TWC.2018.2867180
   Web of Science ®Google Scholar
• Dai, L., Wang, B., Ding, Z., Wang, Z., Chen, S., & Hanzo, L. (2018). A survey of non- orthogonal multiple access for 5G. IEEE Communications Surveys & Tutorials, 20(3), 2294–2323. https://doi.org/10.1109/COMST.2018.2835558
   Web of Science ®Google Scholar
• Ding, Z., Adachi, F., & Poor, H. V. (2015). The application of MIMO to non-orthogonal multiple access. IEEE Transactions on Wireless Communications, 15(1), 537–552. https://doi.org/10.1109/TWC.2015.2475746
   Web of Science ®Google Scholar
• Ding, Z., Schober, R., & Poor, H. V. (2016). A general mimo framework for noma down- link and uplink transmission based on signal alignment. IEEE Transactions on Wireless Communications, 15(6), 4438–4454. https://doi.org/10.1109/TWC.2016.2542066
   Web of Science ®Google Scholar
• He, R., Li, Q., Ai, B., Geng, Y. L.-A., Molisch, A. F., Kristem, V., Zhong, Z., & Yu, J. (2017). A kernel-power-density-based algorithm for channel multipath components clustering. IEEE Transactions on Wireless Communications, 16(11), 7138–7151. https://doi.org/10.1109/TWC.2017.2740206
   Web of Science ®Google Scholar
• Islam, S. R., Avazov, N., Dobre, O. A., & Kwak, K.-S. (2016). Power-domain non-orthogonal multiple access (NOMA) in 5G systems: Potentials and challenges. IEEE Communications Surveys & Tutorials, 19(2), 721–742. https://doi.org/10.1109/COMST.2016.2621116
   Web of Science ®Google Scholar
• Islam, S. R., Zeng, M., & Dobre, O. A. (2017). Noma in 5g systems: Exciting possibilities for enhancing spectral efficiency. IEEE 5G Tech Focus, 1(2). https://doi.org/10.48550/arXiv.1706.08215
   Google Scholar
• Islam, S. R., Zeng, M., Dobre, O. A., & Kwak, K.-S. (2018). Resource allocation for downlink NOMA systems: Key techniques and open issues. IEEE Wireless Communications, 25(2), 40–47. https://doi.org/10.1109/MWC.2018.1700099
   Web of Science ®Google Scholar
• Jain, R. K., Chiu, D.-M. W., Hawe, W. R. (1984). A quantitative measure of fairness and discrimination. In Eastern research laboratory, digital equipment corporation. MA: Hudson.
   Google Scholar
• Khaleelahmed, S., & Venkateswara, N. R. (2022). An approach for energy-efficient power allocation in MIMO–NOMA system. International Journal of Electronics, 109(6), 953–970. https://doi.org/10.1080/00207217.2021.1946861
   Web of Science ®Google Scholar
• Kiani, S., Dong, M., Panahi, S. S., Boudreau, G., & Bavand, M. (2022). Learning-based user clustering in NOMA-aided MIMO networks with spatially correlated channels. IEEE Transactions on Communications, 70(7), 4807–4821. https://doi.org/10.1109/TCOMM.2022.3176851
   Web of Science ®Google Scholar
• Kimy, B., Lim, S., Kim, H., Suh, S., Kwun, J., Choi, S., … Hong, D. (2013). Non-orthogonal multiple access in a downlink multiuser beamforming system. In Milcom 2013-2013 IEEE military communications conference (pp. 1278–1283).
   Google Scholar
• Kumaresan, S. P., Tan, C. K., & Ng, Y. H. (2020). Efficient user clustering using a low- complexity artificial neural network (ANN) for 5g noma systems. IEEE Access, 8, 179307–179316. https://doi.org/10.1109/ACCESS.2020.3027777
   Web of Science ®Google Scholar
• Liu, Y., Elkashlan, M., Ding, Z., & Karagiannidis, G. K. (2016). Fairness of user clustering in mimo non-orthogonal multiple access systems. IEEE Communications Letters, 20(7), 1465–1468. https://doi.org/10.1109/LCOMM.2016.2559459
   Web of Science ®Google Scholar
• Liu, S., Zhang, C., & Lyu, G. (2015). User selection and power schedule for downlink non- orthogonal multiple access (NOMA) system. In 2015 IEEE international conference on com- munication workshop (ICCW) (pp. 2561–2565).
   Google Scholar
• Marasinghe, D., Jayaweera, N., Rajatheva, N., & Latva-Aho, M. (2020). Hierarchical user clustering for mmwave-NOMA systems. In 2020 2nd 6g wireless summit (6g summit) (pp. 1–5).
   Google Scholar
• Mukherjee, A., Goswami, P., Yang, L., Tyagi, S. K. S., Samal, U., & Mohapatra, S. (2020). Deep neural network-based clustering technique for secure IIoT. Neural Computing and Applications, 32, 1–9. https://doi.org/10.1007/s00521-020-04763-4
   Google Scholar
• Nhat, L., Nguyen, Q., Nguyen, V.-D., Chatzinotas, N.-P., Dobre, O. A, S., & Zhao, R. (2021). Learning-assisted user clustering in cell-free massive MIMO-NOMA networks. Transactions on Vehicular Technology, 70(12), 12872–12887. https://doi.org/10.1109/TVT.2021.3121217
   Web of Science ®Google Scholar
• Osseiran, A., Boccardi, F., Braun, V., Kusume, K., Marsch, P., Maternia, M., Queseth, O., Schellmann, M., Schotten, H., Taoka, H., Tullberg, H., Uusitalo, M. A., Timus, B., Fallgren, M. (2014). Scenarios for 5g mobile and wireless communications: The vision of the METIS project. IEEE Communications Magazine, 52(5), 26–35. https://doi.org/10.1109/MCOM.2014.6815890
   Web of Science ®Google Scholar
• Park, S., Truong, A. Q., & Nguyen, T. H. (2019). Power control for sum spectral efficiency optimization in MIMO-NOMA systems with linear beamforming. IEEE Access, 7, 10593–10605. https://doi.org/10.1109/ACCESS.2018.2890441
   Web of Science ®Google Scholar
• Peel, C., Spencer, Q., Swindlehurst, A. L., & Hochwald, B. (2004). Downlink transmit beam- forming in multi-user MIMO systems. In Processing workshop proceedings, 2004 sensor array and multichannel signal (pp. 43–51).
   Google Scholar
• Roy, S., & Chakrabarti, A. (2017). Chapter 11 - a novel graph clustering al- gorithm based on discrete-time quantum random walk. 361–389. https://www.sciencedirect.com/science/article/pii/B9780128044094000115
   Google Scholar
• Sanjana, T., & Suma, M. N. (2022). Investigation of power allocation schemes in NOMA. International Journal of Electronics, 109(1), 169–180. https://doi.org/10.1080/00207217.2021.1939434
   Web of Science ®Google Scholar
• Sayed-Ahmed, A., Elsabrouty, M., Abd El-Malek, A. H., & Abo-Zahhad, M. (2018). Energy ef- ficient framework for multiuser downlink MIMO-NOMA systems. In 2018 14th international conference on wireless and mobile computing, networking and communications (wimob) (pp. 48–54).
   Google Scholar
• Spencer, Q. H., Swindlehurst, A. L., & Haardt, M. (2004). Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels. IEEE Transactions on Signal Processing, 52(2), 461–471. https://doi.org/10.1109/TSP.2003.821107
   Web of Science ®Google Scholar
• Sun, X., Gao, X., Li, G. Y., & Han, W. (2019). Agglomerative user clustering and cluster scheduling for FDD massive MIMO systems. IEEE Access, 7, 86522–86533. https://doi.org/10.1109/ACCESS.2019.2923246
   Web of Science ®Google Scholar
• Sun, Q., Han, S., Chin-Lin, I., & Pan, Z. (2015). On the ergodic capacity of MIMO NOMA systems. IEEE Wireless Communications Letters, 4(4), 405–408. https://doi.org/10.1109/LWC.2015.2426709
   Web of Science ®Google Scholar
• Sun, X., Yang, N., Yan, S., Ding, Z., Ng, D. W. K., Shen, C., & Zhong, Z. (2018). Joint beamforming and power allocation in downlink NOMA multiuser MIMO networks. IEEE Transactions on Wireless Communications, 17(8), 5367–5381. https://doi.org/10.1109/TWC.2018.2842725
   Web of Science ®Google Scholar
• Trifan, R.-F., Enescu, -A.-A., & Paleologu, C. (2019). Hybrid mu-mimo precoding based on k-means user clustering. Algorithms, 12(7), 146. https://doi.org/10.3390/a12070146
   Web of Science ®Google Scholar
• Wang, L., Dong, A., & Yu, K. (2020). Distance-aware power allocation for multi-user MIMO- NOMA systems based on grouped zero-forcing beamforming. Procedia Computer Science, 174, 299–303. https://doi.org/10.1016/j.procs.2020.06.089
   Google Scholar
• Wang, Y., Li, X., Wang, W., Zhang, G., & Zhang, H. (2019). A new user grouping and power allocation scheme for downlink non-orthogonal multiple access systems. In Journal of Physics: Conference Series (Vol. 1284, p. 012060).
   Google Scholar
• Xie, X., Zhang, Z., Jiang, H., Dang, J., & Wu, L. (2017). Cluster-based geometrical dynamic stochastic model for MIMO scattering channels. In 2017 9th international conference on wireless communications and signal processing (WCSP) (pp. 1–5).
   Google Scholar
• Xu, Y., Yue, G., & Mao, S. (2014). User grouping for massive MIMO in FDD systems: New design methods and analysis. IEEE Access, 2, 947–959. https://doi.org/10.1109/ACCESS.2014.2353297
   Web of Science ®Google Scholar
• Yang, G., Esmailpour, A., Nasser, N., Chen, G., Liu, Q., & Bai, P. (2020). A hierarchical clustering algorithm for interference management in ultra-dense small cell networks. IEEE Access, 8, 78726–78736. https://doi.org/10.1109/ACCESS.2020.2989502
   Web of Science ®Google Scholar
• Zeng, M., Yadav, A., Dobre, O. A., & Poor, H. V. (2018). Energy-efficient power allocation for MIMO-NOMA with multiple users in a cluster. IEEE Access, 6, 5170–5181. https://doi.org/10.1109/ACCESS.2017.2779855
   Web of Science ®Google Scholar
• Zeng, M., Yadav, A., Dobre, O. A., Tsiropoulos, G. I., & Poor, H. V. (2017). On the sum rate of MIMO-NOMA and MIMO-OMA systems. IEEE Wireless Communications Letters, 6(4), 534–537. https://doi.org/10.1109/LWC.2017.2712149
   Web of Science ®Google Scholar
• Zhang, H., Zhang, H., Liu, W., Long, K., Dong, J., & Leung, V. C. (2020). Energy efficient user clustering, hybrid precoding and power optimization in terahertz mimo-noma systems. IEEE Journal on Selected Areas in Communications, 38(9), 2074–2085. https://doi.org/10.1109/JSAC.2020.3000888
   Web of Science ®Google Scholar
• Zhang, X., Zhu, X., & Zhu, H. (2019). Joint user clustering and multi-dimensional resource allocation in downlink MIMO–NOMA networks. IEEE Access, 7, 81783–81793. https://doi.org/10.1109/ACCESS.2019.2923713
   Google Scholar