Abstract
The lens antenna array is typically composed of an electromagnetic (EM) lens and has elements in the focal area of the lens in order to achieve its large antenna gain. In this paper, we first analyze the response model of the lens antenna array, and conclude that the model follows the “sinc” function. The lens array is then applied to a MIMO system that allows millimeter-wave input and the use of new path-division multiplexing. On this basis, we model the channel of the system to derive the channel impulse response, which follows the “sinc sinc” function. Finally, the beamforming process is performed at the receiving end to obtain the received signal, and the signal-to-noise ratio expression is analyzed and optimized to obtain the maximum signal-to-noise ratio (SNR) of the system and the system performance is simulated.
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Acknowledgments
The research was supported in part by Postdoctoral Research Funding Plan in Jiangsu Province (Grant No. 1501073B), Natural Science Foundation of Nanjing University of Posts and Telecommunications (Grant No. NY214108), Natural Science Foundation of China (NSFC) (Grant No. 61401399), and the Open Research Fund of National Mobile Communications Research Laboratory, Southeast University (Grant No. 2016D05).
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Zhang, M., Dai, J., Cheng, C., Huang, Z. (2018). SNR Analysis of the Millimeter Wave MIMO with Lens Antenna Array. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 226. Springer, Cham. https://doi.org/10.1007/978-3-319-73564-1_50
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DOI: https://doi.org/10.1007/978-3-319-73564-1_50
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