Abstract
The millimeter-wave (mmWave) frequencies offer large transmission bandwidths and allow the use of a large number of antennas in a specific aperture area, allowing the design of multiple-input multiple-output MIMO systems. A millimeter beamspace multi-user MIMO system is a key enabling technology of 5G to fulfil the demand for a high data rate. But, it suffers from high RF complexity. We consider a downlink mmWave MIMO system, where a base station (BS) equipped with a large number of antennas serves multiple single-antenna users. However, in the conventional beam selections schemes, different users are likely to share the same beam and hence the reason for serious multiuser interferences. To solve these problems, beam selection is an effective solution. In this paper, we propose a novel beam selection approach for downlink mmWave massive MIMO systems that select one beam for each user. Aiming to improve the signal-to-interference-plus-noise ratio (SINR), the proposed algorithm removes the inter-user interference. Simulation results show that the proposed algorithm improves the sum-rate and energy efficiency and BER performances when compared to previously proposed algorithms.
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Andrews, J.G., Buzzi, S., Choi, W., Hanly, S.V., Lozano, A., Soong, A.C.K., Zhang, J.C.: What Will 5G Be? IEEE J. Sel. Areas Commun. 32(6), 1065–1082 (2014)
Al-Falahy, N., Alani, O.Y.: Technologies for 5G networks: challenges and opportunities. IEEE IT Prof. 19(1), 12–20 (2017)
Heath, R.W., Gonzalez-Prelcic, N., Rangan, S., Roh, W., Sayeed, A.M.: An overview of signal processing techniques for millimeter wave MIMO systems. IEEE J. Sel. Topics Signal Process. 10(3), 436–453 (2016)
Sun, S., Rappaport, T., Heath, R., Nix, A., Rangan, S.: MIMO for millimeter-wave wireless communications: beamforming, spatial multiplexing, or both? IEEE Commun. Mag. 52(12), 110–121 (2014)
Brady, J., Behdad, N., Sayeed, A.M.: Beamspace MIMO for millimeter-wave communications: system architecture, modeling, analysis, and measurements. IEEE Trans. Antennas Propag. 61(7), 3814–3827 (2013)
Sayeed, A., Brady, J.: Beamspace MIMO for high-dimensional multiuser communication at millimeter-wave frequencies. In: Proceedings of the IEEE Global Telecommunication Conference, pp. 3679–3684 (2013)
Gao, X., Dai, L., Chen, Z., Wang, Z., Zhang, Z.: Near-optimal beam selection for beamspace mmWave massive MIMO systems. IEEE Commun. Lett. 20(5), 1054–1057 (2016)
Pal, R., Chaitanya, A.K., Srinivas, K.V.: Low-complexity beam selection algorithms for millimeter wave beamspace MIMO systems. IEEE Commun. Lett. 23(4), 768–771 (2019)
Amadori, P.V., Masouros, C.: Low RF-complexity millimeter-wave beamspace-MIMO systems by beam selection. IEEE Trans. Commun. 63(6), 2212–2223 (2015)
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Shili, M., Hajjaj, M., Ammari, M.L. (2020). Weighted-Gain Beam Selection for Beamspace mmWave Massive MIMO Systems. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Advanced Information Networking and Applications. AINA 2020. Advances in Intelligent Systems and Computing, vol 1151. Springer, Cham. https://doi.org/10.1007/978-3-030-44041-1_82
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DOI: https://doi.org/10.1007/978-3-030-44041-1_82
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