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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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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