International journal of advanced smart convergence

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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Machine-Learning-Based User Group and Beam Selection for Coordinated Millimeter-wave Systems

  • Ju, Sang-Lim (Department of radio and communication engineering, Chungbuk National University) ;
  • Kim, Nam-il (Telecommunications & Media Research Laboratory, Electronics and Telecommunications Research Institute) ;
  • Kim, Kyung-Seok (Department of information and communication engineering, Chungbuk National University)
  • Received : 2020.11.15
  • Accepted : 2020.11.28
  • Published : 2020.12.31
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Abstract

In this paper, to improve spectral efficiency and mitigate interference in coordinated millimeter-wave systems, we proposes an optimal user group and beam selection scheme. The proposed scheme improves spectral efficiency by mitigating intra- and inter-cell interferences (ICI). By examining the effective channel capacity for all possible user combinations, user combinations and beams with minimized ICI can be selected. However, implementing this in a dense environment of cells and users requires highly complex computational abilities, which we have investigated applying multiclass classifiers based on machine learning. Compared with the conventional scheme, the numerical results show that our proposed scheme can achieve near-optimal performance, making it an attractive option for these systems.

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References

  1. Ericsson: "Ericsson mobility report (Revision A)," 2019.
  2. R. W. Heath, N. G.-Prelcic, S. Rangan, W. Roh, A. M. Sayeed, "An overview of signal processing techniques for millimeter wave MIMO systems," IEEE J. Sel. Topics Signal Process., vol. 10, no. 3, pp. 436-453, April 2016. doi: 10.1109/JSTSP.2016.2523924.
  3. D. L.-Perez, M. Ding, H. Claussen, and A. H. Jafari, "Towards 1 Gbps/UE in cellular systems: Understanding ultradense small cell deployments," IEEE Commu. Surv. Tuts., vol. 17, no. 4, pp. 2078-2101, 2015. doi: 10.1109/COMST.2015.2439636.
  4. M. Kamel, W. Hamouda, and A. Youssef, "Ultra-dense networks: A survey," IEEE Commu. Surv. Tuts., vol. 18, no. 4, pp. 2522-2545, 2016. doi: 10.1109/COMST.2016.2571730.
  5. A. Alkhateeb, G. Leus, and R. W. Heath, "Limited feedback hybrid precoding for multi-user millimeter wave systems," IEEE Trans. Wirel. Commun., vol. 14, no. 11, pp. 6481-6494, Nov. 2015. doi: 10.1109/TWC.2015.2455980.
  6. Z. Jiang, S. Chen, S. Zhou, and Z. Niu, "Joint user scheduling and beam selection optimization for beam-based massive MIMO downlinks," IEEE Trans. Wirel. Commun., pp. 2190-2204, April 2018. doi: 10.1109/TWC.2018.2789895.
  7. S. He, Y. Wu, D. W. K. Ng, and Y. Huang, "Joint optimization of analog beam and user scheduling for millimeter wave communications," IEEE Commun. Lett., vol. 21, no. 12, pp. 2638-2641, Dec. 2017. doi: 10.1109/LCOMM.2017.2745570.
  8. M. A.-Saedy, M. A.-Imari, M. A.-Shuraifi, and H. A.-Raweshidy, "Joint user selection and multimode scheduling in multicell MIMO cellular networks," IEEE Trans. Veh. Technol., vol. 66, no. 12, pp. 10962-10972, Dec. 2017. doi: 10.1109/TVT.2017.2717909.
  9. R. P. Antonioli, G. Fodor, P. Soldati and T. F. Maciel, "User Scheduling for Sum-Rate Maximization Under Minimum Rate Constraints for the MIMO IBC," IEEE Wirel. Commun. Lett., vol. 8, no. 6, pp. 1591-1595, Dec. 2019, doi: 10.1109/LWC.2019.2930255.
  10. I. Cumali, B. Ozbek and A. Pyattaev, "Beam and User Selection Technique in Millimeter Wave Communications," 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), Antwerp, Belgium, 2020, pp. 1-5, doi: 10.1109/VTC2020-Spring48590.2020.9128737.
  11. Y. Long, Z. Chen, J. Fang, and C. Tellambura, "Data-Driven-Based Analog Beam Selection for Hybrid Beamforming Under mm-Wave Channels," IEEE J. Sel. Topics Signal Process., vol. 12, no. 2, pp. 340-352, March 2018. doi: 10.1109/JSTSP.2018.2818649.
  12. Y. Yang, X. Deng, D. He, Y. You, and R. Song, "Machine Learning Inspired Codeword Selection for Dual Connectivity in 5G User-Centric Ultra-Dense Networks," IEEE Trans. Veh. Technol., vol. 68, no. 8, pp. 8284-8288, June. 2019. doi: 10.1109/TVT.2019.2923314.
  13. 3GPP, "Study on channel model for frequencies from 0.5 to 100 GHz (Release 14)," 3GPP, Tech. Rep. TR38.901, V14.3.0, 2017.
  14. B. M. Hochwald, T. L. Mazetta, T. J. Richardson, W. Sweldens, and R. Urbanke, "Systematic design of unitary space-time constellations," IEEE Trans. Inform. Theory, vol. 46, no. 6, pp. 1962-1973, Sep. 2000. doi: 10.1109/18.868472.
  15. S.-L. Ju, N.-il Kim, S.-Q. Lee, J. Kim, and K.-S. Kim, "Hybrid beamforming scheme for millimeter-wave massive MIMO and dense small cell networks," 25th Asia-Pacific Conference on Communications, 2019.