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SNR Analysis of the Millimeter Wave MIMO with Lens Antenna Array

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Machine Learning and Intelligent Communications (MLICOM 2017)

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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References

  1. Ma, J., Li, H., Zhang, S., Zhao, N., Nallanathan, A.: Pattern division for massive MIMO networks with two-stage precoding. IEEE Commun. Lett. 21(7), 1665–1668 (2017)

    Article  Google Scholar 

  2. Xie, H., Gao, F., Zhang, S., Jin, S.: A unified transmission strategy for TDD/FDD massive MIMO systems with spatial basis expansion model. IEEE Trans. Veh. Technol. 66(4), 3170–3184 (2017)

    Article  Google Scholar 

  3. Xie, H., Gao, F., Jin, S.: An overview of low-rank channel estimation for massive MIMO systems. IEEE Access 4, 7313–7321 (2016)

    Article  Google Scholar 

  4. Xie, H., Wang, B., Gao, F., Jin, S.: A full-space spectrum-sharing strategy for massive MIMO cognitive radio. IEEE J. Sel. Areas Commun. 34(10), 2537–2549 (2016)

    Article  Google Scholar 

  5. Wang, J.-B., Chen, M., Wan, X., Wei, J.: Ant-colony-optimization-based scheduling algorithm for uplink CDMA nonreal-time data. IEEE Trans. Veh. Technol. 58(1), 231–241 (2009)

    Article  Google Scholar 

  6. Agrawal, S.K., Sharma, K.: 5G millimeter wave (mmWave) communications. In: 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, pp. 3630–3634 (2016)

    Google Scholar 

  7. Zhang, J., Ge, X., Li, Q., Guizani, M., Zhang, Y.: 5G millimeter-wave antenna array: design and challenges. IEEE Wirel. Commun. PP(99), 2–8

    Google Scholar 

  8. Luo, F.-L., Zhang, C.: 5G millimeter-wave communication channel and technology overview. In: Signal Processing for 5G: Algorithms and Implementations, vol. 1, p. 616. Wiley-IEEE Press (2016)

    Google Scholar 

  9. Rangan, S., Rappaport, T.S., Erkip, E.: Millimeter-wave cellular wireless networks: potentials and challenges. Proc. IEEE 102(3), 366–385 (2014)

    Article  Google Scholar 

  10. Jing, J., Xiaoxue, C., Yongbin, X.: Energy-efficiency based downlink multi-user hybrid beamforming for millimeter wave massive MIMO system. J. China Univ. Posts Telecommun. 23(4), 53–62 (2016)

    Article  Google Scholar 

  11. Wang, J.-B., Qing-Song, H., Wang, J., Chen, M., Wang, J.-Y.: Tight bounds on channel capacity for dimmable visible light communications. IEEE/OSA J. Lightwave Technol. 31(23), 3771–3779 (2013)

    Article  Google Scholar 

  12. Wang, J.-Y., Wang, J.-B., Chen, M., Tang, Y., Zhang, Y.: Outage analysis for relay-aided free-space optical communications over turbulence channels with nonzero boresight pointing errors. IEEE Photonics J. 6(4), 1–15 (2014)

    Article  Google Scholar 

  13. Samimi, M.K., Sun, S., Rappaport, T.S.: MIMO channel modeling and capacity analysis for 5G millimeter-wave wireless systems. In: 2016 10th European Conference on Antennas and Propagation (EuCAP), Davos, pp. 1–5 ( 2016)

    Google Scholar 

  14. Rappaport, T.S., MacCartney, G.R., Samimi, M.K., Sun, S.: Wideband millimeter-wave propagation measurements and channel models for future wireless communication system design. IEEE Trans. Commun. 63(9), 3029–3056 (2015)

    Article  Google Scholar 

  15. Zeng, Y., Zhang, R.: Millimeter wave MIMO with lens antenna array: a new path division multiplexing paradigm. IEEE Trans. Commun. 64(4), 1557–1571 (2016)

    Article  Google Scholar 

  16. Liu, L., Matolak, D.W., Tao, C., Li, Y., Ai, B., Chen, H.: Channel capacity investigation of a linear massive MIMO system using spherical wave model in LOS scenarios. Sci. China Inf. Sci. 59(2), 45–59 (2016)

    Article  Google Scholar 

  17. Jin-Yuan, W., Jun-Bo, W., Nuo, H., Ming, C.: Capacity analysis for pulse amplitude modulated visible light communications with dimming control. J. Opt. Soc. Am. A 31(3), 561–568 (2014)

    Article  Google Scholar 

  18. Ali, S., Aslam, M.I., Ahmed, I.: MIMO channel modeling and capacity analysis using 3-D spatial statistical channel model for millimeter wave outdoor communication. In: 2017 14th International Bhurban Conference on Applied Sciences and Technology (IBCAST), Islamabad, pp. 735–740 (2017)

    Google Scholar 

  19. Samimi, M.K., Sun, S., Rappaport, T.S.: MIMO channel modeling and capacity analysis for 5G millimeter-wave wireless systems. In: 2016 10th European Conference on Antennas and Propagation (EuCAP), Davos, pp. 1–5 (2016)

    Google Scholar 

  20. Kamga, G.N., Xia, M., Aissa, S.: Channel modeling and capacity analysis of large MIMO in real propagation environments. In: 2015 IEEE International Conference on Communications (ICC), London, pp. 1447–1452 (2015)

    Google Scholar 

  21. Wang, J.-B., Su, Q., Wang, J., Feng, M., Chen, M., Jiang, B., Wang, J.-Y.: Imperfect CSI based joint resource allocation in multirelay OFDMA networks. IEEE Trans. Veh. Technol. 63(8), 3806–3817 (2014)

    Article  Google Scholar 

  22. Zhao, N., Yu, F.R., Leung, V.C.M.: Opportunistic communications in interference alignment networks with wireless power transfer. IEEE Wirel. Commun. 22(1), 88–95 (2015)

    Article  Google Scholar 

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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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Correspondence to Min Zhang .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73563-4

  • Online ISBN: 978-3-319-73564-1

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