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A Conditional Clustering Scheme for Hybrid NOMA in Millimeter Wave Communication System

  • Nguyen, Thanh Ngoc (Department of Electrical and Information Engineering, Seoul National University of Science and Technology) ;
  • Jeon, Taehyun (Seoul National University of Science and Technology)
  • Received : 2019.09.11
  • Accepted : 2019.09.24
  • Published : 2019.12.31

Abstract

Millimeter-wave (mmWave) and Non-orthogonal multiple access (NOMA) are expected to be the major techniques that lead to the next generation wireless communication. NOMA provides a high spectrum efficiency by sharing of spatial resources among users in the same frequency band. Meanwhile, millimeter-wave gives a huge underutilized bandwidth at extremely high frequency band (EHF) which covers 30GHz to 300GHz. These techniques have been proven in several recent literatures to achieve high data rates. The combination of NOMA and millimeter-wave techniques further improves average sum capacities, as well as reduces the interference compared to conventional wireless communication systems. In this paper, we focus on hybrid NOMA system working in millimeter-wave frequency. We propose a clustering algorithm used for a hybrid NOMA scheme to optimize the usage of wireless resources. The proposed clustering algorithm adds several conditions in grouping users and defining clusters to increase the probability of the successful superposition decoding process. The performance of the proposed clustering algorithm is investigated in hybrid NOMA system and compared with the conventional orthogonal multiple access (OMA) scheme.

Keywords

References

  1. S.H. Park and J.K. Park, “IoT Industry & Security Technology Trends,” International Journal of Advanced Smart Convergence, Vol. 5, No. 3, pp. 27-31, May 2016. https://doi.org/10.7236/IJASC.2016.5.3.27
  2. D.Y. Yun, K.D. Jung and J.Y. Lee, “The Routing Algorithm for Wireless Sensor Networks with Random Mobile Nodes,” International Journal of Internet, Broadcasting and Communication, Vol. 9, No. 4, pp. 38-43, Sep. 2017. https://doi.org/10.7236/IJIBC.2017.9.4.38
  3. S. Ali, E. Hossain and D.I. Kim, "Non-orthogonal multiple access (NOMA) for downlink multiuser MIMO systems: User clustering, beamforming, and power allocation," IEEE Access, Vol. 5, pp. 565-577, Dec. 2016. https://doi.org/10.1109/ACCESS.2016.2646183
  4. S. Ali, H. Tabassum and E. Hossain, "Dynamic user clustering and power allocation for uplink and downlink non-orthogonal multiple access (NOMA) systems," IEEE Access, Vol. 4, pp. 6325-6343, Aug. 2016. https://doi.org/10.1109/ACCESS.2016.2604821
  5. S.A.R. Naqvi and S.A. Hassan, "Combining NOMA and mmWave technology for cellular communication," In Proc. 84th IEEE Vehicular Technology Conference (VTC-Fall), pp. 1-5, Sep. 2016.
  6. Z. Ding, and H. Vincent, “The Application of MIMO to Non-Orthogonal Multiple Access,” IEEE transactions on wireless communications, Vol. 15, No. 1, pp. 537-552, Jan. 2016. https://doi.org/10.1109/TWC.2015.2475746
  7. D.K. Zhu, B.Y. Li, and P. Liang, "A novel hybrid beamforming algorithm with unified analog beamforming by subspace construction based on partial CSI for massive MIMO-OFDM systems," IEEE Transactions on Communications, Vol. 65, No. 2, pp. 594-607, Nov. 2016. https://doi.org/10.1109/TCOMM.2016.2625794
  8. A. Maltsev, A. Lomayev, A. Pudeyev, I. Bolotin and Y. Gagiev, "Channel Models for IEEE 802.11ay," IEEE 802.11-15/1150r4, 2016.
  9. Z. Jie, T.J. Lv, R.P. Liu and X. Su, "Investigation on evolving single-carrier NOMA into multi-carrier NOMA in 5G," IEEE Access, Vol. 6, pp. 48268-48288, Aug. 2018. https://doi.org/10.1109/access.2018.2868093
  10. K. Fatih, O.F. Gemici, I. Hokelek and A.C. Hakan, "Optimal power allocation for DL NOMA systems," In proc. 25th Signal Processing and Communications Applications Conference, May 2017.