Abstract
This paper proposes a novel cognitive cooperative transmission scheme by exploiting massive multiple-input multiple-output (MMIMO) and non-orthogonal multiple access (NOMA) radio technologies, which enables a macrocell network and multiple cognitive small cells to cooperate in dynamic spectrum sharing. The macrocell network is assumed to own the spectrum band and be the primary network (PN), and the small cells act as the secondary networks (SNs). The secondary access points (SAPs) of the small cells can cooperatively relay the traffic for the primary users (PUs) in the macrocell network, while concurrently accessing the PUs’ spectrum to transmit their own data opportunistically through MMIMO and NOMA. Such cooperation creates a “win-win” situation: the throughput of PUs will be significantly increased with the help of SAP relays, and the SAPs are able to use the PU’s spectrum to serve their secondary users (SUs). The interplay of these advanced radio techniques is analyzed in a systematic manner, and a framework is proposed for the joint optimization of cooperative relay selection, NOMA and MMIMO transmit power allocation, and transmission scheduling. Further, to model network-wide cooperation and competition, a two-sided matching algorithm is designed to find the stable partnership between multiple SAPs and PUs. The evaluation results demonstrate that the proposed scheme achieves significant performance gains for both primary and secondary users, compared to the baselines.
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Lu, L., Li, G.Y., Swindlehurst, A.L., Ashikhmin, A., Zhang, R.: An overview of massive MIMO: benefits and challenges. IEEE J. Sel. Top. Sign. Process. 8(5), 742–758 (2014)
Hoydis, J., ten Brink, S., Debbah, M.: Massive MIMO in the UL/DL of cellular networks: how many antennas do we need? IEEE J. Sel. Areas Commun. 31(2), 160–171 (2013)
3GPP TS 38.201, ver. 15.0.0, Rel. 15, 5G; NR Physical Layer General Description (2018)
3GPP TS 38.214, ver. 15.4.0, Rel. 15, 5G; NR; Physical Layer Procedures for Data (2018)
Ding, Z., Dai, L., Schober, R., Poor, H.V.: NOMA meets finite resolution analog beamforming in massive MIMO and millimeter-wave networks. IEEE Commun. Lett. 21(8), 1879–1882 (2017)
Ding, Z., et al.: Application of non-orthogonal multiple access in LTE and 5G networks. IEEE Commun. Mag. 55(2), 185–191 (2017)
Morgado, A., Saidul Huq, K.M., Mumtaz, S., Rodriguez, J.: A survey of 5G technologies: regulatory, standardization and industrial perspectives. Digital Commun. Netw. J. 4(2), 87–97 (2018)
Song, M., Xin, C., Zhao, Y., Cheng, X.: Dynamic spectrum access: from cognitive radio to network radio. IEEE Wirel. Commun. 19(1), 23–29 (2012)
Hua, S., Liu, H., Zhuo, X., Wu, M., Panwar, S.: Exploiting multiple antennas in cooperative cognitive radio networks. IEEE Trans. Veh. Technol. 63(7), 3318–3330 (2013)
Zhang, J., Zhang, Q.: Stackelberg game for utility-based cooperative cognitive radio networks. In: Proceedings of the ACM MOBIHOC (2010)
Biglieri, E., et al.: MIMO Wireless Communications. Cambridge University Press, Cambridge (2007)
Gao, X., Dai, L., Sun, Y., Han, S., Chih-Lin, I.: Machine learning inspired energy-efficient hybrid precoding for mmWave massive MIMO systems. In: Proceedings of IEEE International Conference on Communications (ICC), Paris, pp. 1–6 (2017)
Ngo, H., Larsson, E., Marzetta, T.: Energy and spectral efficiency of very large multiuser MIMO systems. IEEE Trans. Commun. 61, 1436–1449 (2013)
Papadimitriou, C., Steiglitz, K.: Combinatorial Optimization, Algorithms and Complexity. Dover Publication Inc., New York (2014)
Roth, A.E., Sotomayor, M.A.O.: Two-Sided Matching: A Study in Game-Theoretic Modeling and Analysis. Cambridge University Press, Cambridge (1992)
Brito, I., Meseguer, P.: Distributed stable matching problems. In: van Beek, P. (ed.) CP 2005. LNCS, vol. 3709, pp. 152–166. Springer, Heidelberg (2005). https://doi.org/10.1007/11564751_14
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Dinh, S., Liu, H., Ouyang, F. (2019). Massive MIMO Cognitive Cooperative Relaying. In: Biagioni, E., Zheng, Y., Cheng, S. (eds) Wireless Algorithms, Systems, and Applications. WASA 2019. Lecture Notes in Computer Science(), vol 11604. Springer, Cham. https://doi.org/10.1007/978-3-030-23597-0_8
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DOI: https://doi.org/10.1007/978-3-030-23597-0_8
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