Abstract
Non-orthogonal multiple access (NOMA) is considered a promising technology for improving the spectral efficiency in fifth generation communication systems. In contrast to orthogonal multiple access (OMA), NOMA allows to allocate one frequency channel to multiple users at the same time within the same cell. Basically, this is possible through power-domain superposition coding (SC) multiplexing at transmitter and successive interference cancellation (SIC) at receiver. For this reason, either an optimal power allocation scheme and an optimal user-aggregation policy result to have a key role on NOMA systems, especially in power constrained scenarios like disaster communications. In this paper, a particle swarm optimization (PSO)-based approach for user aggregation in NOMA systems is presented. The efficiency of this approach in finding the optimal aggregation scheme which require the minimum transmission power, maintaining the quality of service (QoS) constraint of each user, is evaluated through simulations, providing comments and remarks about the obtained results.
This work was supported in part by the Newton Prize 2017 and the Newton Fund Institutional Link through the Fly-by-Flood Monitoring Project under Grant ID 428328486, which is delivered by the British Council.
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References
Bratton, D., Kennedy, J.: Defining a standard for particle swarm optimization. In: Proceedings of IEEE Swarm Intelligence Symposium, pp. 120–127, April 2007. https://doi.org/10.1109/SIS.2007.368035
Dai, L., Wang, B., Yuan, Y., Han, S., Chih-Lin, I., Wang, Z.: Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends. IEEE Commun. Mag. 53(9), 74–81 (2015). https://doi.org/10.1109/MCOM.2015.7263349
Ding, Z., Fan, P., Poor, H.V.: Impact of user pairing on 5G nonorthogonal multiple-access downlink transmissions. IEEE Trans. Veh. Technol. 65(8), 6010–6023 (2016). https://doi.org/10.1109/TVT.2015.2480766
Do, N.T., da Costa, D.B., Duong, T.Q., An, B.: A BNBF user selection scheme for NOMA-based cooperative relaying systems with SWIPT. IEEE Commun. Lett. 21(3), 664–667 (2017). https://doi.org/10.1109/LCOMM.2016.2631606
Do, T.N., da Costa, D.B., Duong, T.Q., An, B.: Improving the performance of cell-edge users in MISO-NOMA systems using TAS and SWIPT-based cooperative transmissions. IEEE Trans. Green Commun. Netw. 2(1), 49–62 (2018). https://doi.org/10.1109/TGCN.2017.2777510
Do, T.N., da Costa, D.B., Duong, T.Q., An, B.: Improving the performance of cell-edge users in NOMA systems using cooperative relaying. IEEE Trans. Commun. 66(5), 1883–1901 (2018). https://doi.org/10.1109/TCOMM.2018.2796611
Fettweis, G., Alamouti, S.: 5G: personal mobile internet beyond what cellular did to telephony. IEEE Commun. Mag. 52(2), 140–145 (2014). https://doi.org/10.1109/MCOM.2014.6736754
Hojeij, M., Farah, J., Nour, C.A., Douillard, C.: Resource allocation in downlink non-orthogonal multiple access (NOMA) for future radio access. In: Proceedings of IEEE 81st Vehicular Technology Conference (VTC Spring), pp. 1–6, May 2015. https://doi.org/10.1109/VTCSpring.2015.7146056
Islam, S.M.R., Avazov, N., Dobre, O.A., Kwak, K.: Power-domain non-orthogonal multiple access (NOMA) in 5G systems: potentials and challenges. IEEE Commun. Surv. Tutorials 19(2), 721–742 (2017). https://doi.org/10.1109/COMST.2016.2621116
Jordehi, A.R., Jasni, J.: Particle swarm optimisation for discrete optimisation problems: a review. Artif. Intell. Rev. 43(2), 243–258 (2015)
Jovović, I., Husnjak, S., Forenbacher, I., Maček, S.: Innovative application of 5G and blockchain technology in industry 4.0. EAI Endorsed Trans. Ind. Netw. Intell. Syst. 6(18) (2019). https://doi.org/10.4108/eai.28-3-2019.157122
Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of ICNN 1995 - International Conference on Neural Networks, vol. 4, pp. 1942–1948, November 1995. https://doi.org/10.1109/ICNN.1995.488968
Kuila, P., Jana, P.K.: Energy efficient clustering and routing algorithms for wireless sensor networks: particle swarm optimization approach. Eng. Appl. Artif. Intell. 33, 127 – 140 (2014). https://doi.org/10.1016/j.engappai.2014.04.009. http://www.sciencedirect.com/science/article/pii/S0952197614000852
Lee, S.: Cooperative non-orthogonal multiple access for future wireless communications. EAI Endorsed Trans. Ind. Netw. Intell. Syst. 5(17) (2018). https://doi.org/10.4108/eai.19-12-2018.156078
Lee, S., da Costa, D.B., Vien, Q., Duong, T.Q., de Sousa, Jr., R.T., : Non-orthogonal multiple access schemes with partial relay selection. IET Commun. 11(6), 846–854 (2017). https://doi.org/10.1049/iet-com.2016.0836
Lee, S., Duong, T.Q., da Costa, D.B., Ha, D., Nguyen, S.Q.: Underlay cognitive radio networks with cooperative non-orthogonal multiple access. IET Commun. 12(3), 359–366 (2018). https://doi.org/10.1049/iet-com.2017.0559
Liang, W., Ding, Z., Li, Y., Song, L.: User pairing for downlink non-orthogonal multiple access networks using matching algorithm. IEEE Trans. Commun. 65(12), 5319–5332 (2017). https://doi.org/10.1109/TCOMM.2017.2744640
Mavromatis, I., Tassi, A., Rigazzi, G., Piechocki, R.J., Nix, A.: Multi-radio 5G architecture for connected and autonomous vehicles: application and design insights. EAI Endorsed Trans. Ind. Netw. Intell. Syst. 4(13) (2018). https://doi.org/10.4108/eai.20-3-2018.154368
Nasir, A.A., Tuan, H.D., Duong, T.Q., Poor, H.V.: UAV-enabled communication using NOMA. IEEE Trans. Commun. 1 (2019). https://doi.org/10.1109/TCOMM.2019.2906622
Nasir, A.A., Tuan, H.D., Duong, T.Q., Debbah, M.: NOMA throughput and energy efficiency in energy harvesting enabled networks. IEEE Transactions. Commun. 1, ISSN 0090-6778 (2019). https://doi.org/10.1109/TCOMM.2019.2919558
Nguyen, L.D.: Resource allocation for energy efficiency in 5G wireless networks. EAI Endorsed Trans. Ind. Netw. Intell. Syst. 5(14) (2018). https://doi.org/10.4108/eai.27-6-2018.154832
Nguyen, V., Tuan, H.D., Duong, T.Q., Poor, H.V., Shin, O.: Precoder design for signal superposition in MIMO-NOMA multicell networks. IEEE J. Sel. Areas Commun. 35(12), 2681–2695 (2017). https://doi.org/10.1109/JSAC.2017.2726007
Saito, Y., Kishiyama, Y., Benjebbour, A., Nakamura, T., Li, A., Higuchi, K.: Non-orthogonal multiple access (NOMA) for cellular future radio access. In: Proceedings of IEEE 77th Vehicular Technology Conference (VTC Spring), pp. 1–5, June 2013. https://doi.org/10.1109/VTCSpring.2013.6692652
Tuan, H.D., Nasir, A.A., Nguyen, H.H., Duong, T.Q., Poor, H.V.: Non-orthogonal multiple access with improper Gaussian signaling. J. Sel. Top. Sign. Process. 13(3), 496–507 (2019). https://doi.org/10.1109/JSTSP.2019.2901993
Zhang, Y., Wang, H., Zheng, T., Yang, Q.: Energy-efficient transmission design in non-orthogonal multiple access. IEEE Trans. Veh. Technol. 66(3), 2852–2857 (2017). https://doi.org/10.1109/TVT.2016.2578949
Zhu, J., Wang, J., Huang, Y., He, S., You, X., Yang, L.: On optimal power allocation for downlink non-orthogonal multiple access systems. IEEE J. Sel. Areas Commun. 35(12), 2744–2757 (2017). https://doi.org/10.1109/JSAC.2017.2725618
Zhu, L., Zhang, J., Xiao, Z., Cao, X., Wu, D.O.: Optimal user pairing for downlink non-orthogonal multiple access (NOMA). IEEE Wirel. Commun. Lett. 1 (2018). https://doi.org/10.1109/LWC.2018.2853741
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Masaracchia, A., Nguyen, L.D., Duong, T.Q., da Costa, D.B., Le-Tien, T. (2019). User-Pairing Scheme in NOMA Systems: A PSO-Based Approach. In: Duong, T., Vo, NS., Nguyen, L., Vien, QT., Nguyen, VD. (eds) Industrial Networks and Intelligent Systems. INISCOM 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 293. Springer, Cham. https://doi.org/10.1007/978-3-030-30149-1_2
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