International journal of advanced smart convergence

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
권호 표지
DOI QR코드

DOI QR Code

Effects of Beam Configuration on Performances of NOMA System for Millimeter Wave Channels

  • Wonkyu Kim (Dept. of Electrical and Information Engineering, Seoul National University of Science and Technology) ;
  • Thanh Ngoc Nguyen (Electrical and Electronic Engineering, Phenikaa University) ;
  • Taehyun Jeon (Dept. of Electrical and Information Engineering, Seoul National University of Science and Technology)
  • Received : 2024.07.09
  • Accepted : 2024.07.21
  • Published : 2024.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

Non-orthogonal multiple access (NOMA) is a technique that forms a NOMA group composed of two or more users and transmits the superimposed signals of all users in the group through a single beam. In case all users in a NOMA group fall within the main lobe, a high data rate is guaranteed. However, in case not all users in the group fall within the main lobe due to the narrow beam width, the sum data rate decreases, and the data rate disparity between users inside and outside the main lobe widens significantly, leading to reduced fairness. On the other hand, an excessively wide beam might reduce the channel gain which lowers the sum data rate. This paper discusses the effects of beam configuration on the throughput and fairness performances of the NOMA system in the millimeter wave channel environments with simulation results for various channel parameters including the number of antennas and beam directions.

Keywords

References

  1. T. S. Rappaport et al., "Millimeter Wave Mobile Communications for 5G Cellular: It Will Work!," in IEEE Access, vol. 1, pp. 335-349, 2013, doi: 10.1109/ACCESS.2013.2260813.
  2. J. G. Andrews et al., "What Will 5G Be?," in IEEE Journal on Selected Areas in Communications, vol. 32, no. 6, pp. 1065-1082, June 2014, doi: 10.1109/JSAC.2014.2328098.
  3. O. E. Ayach, S. Rajagopal, S. Abu-Surra, Z. Pi and R. W. Heath, "Spatially Sparse Precoding in Millimeter Wave MIMO Systems," in IEEE Transactions on Wireless Communications, vol. 13, no. 3, pp. 1499-1513, March 2014, doi: 10.1109/TWC.2014.011714.130846.
  4. H. Huang, Y. Song, J. Yang, G. Gui and F. Adachi, "Deep-Learning-Based Millimeter-Wave Massive MIMO for Hybrid Precoding," in IEEE Transactions on Vehicular Technology, vol. 68, no. 3, pp. 3027-3032, March 2019, doi: 10.1109/TVT.2019.2893928.
  5. A. Alkhateeb, G. Leus and R. W. Heath, "Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems," in IEEE Transactions on Wireless Communications, vol. 14, no. 11, pp. 6481-6494, Nov. 2015, doi: 10.1109/TWC.2015.2455980.
  6. Y. Zhou and S. Sun, "Performance Analysis of Opportunistic Beam Splitting NOMA in Millimeter Wave Networks," in IEEE Transactions on Vehicular Technology, vol. 71, no. 3, pp. 3030-3043, March 2022, doi: 10.1109/TVT.2022.3144452.
  7. Z. Ding, P. Fan and H. V. Poor, "Random Beamforming in Millimeter-Wave NOMA Networks," in IEEE Access, vol. 5, pp. 7667-7681, 2017, doi: 10.1109/ACCESS.2017.2673248.
  8. Z. Wei, D. W. K. Ng and J. Yuan, "NOMA for Hybrid mmWave Communication Systems With Beamwidth Control," in IEEE Journal of Selected Topics in Signal Processing, vol. 13, no. 3, pp. 567-583, June 2019, doi: 10.1109/JSTSP.2019.2901593.
  9. H. SHI, R. V. Prasad, E. Onur and I. G. M. M. Niemegeers, "Fairness in Wireless Networks:Issues, Measures and Challenges," in IEEE Communications Surveys & Tutorials, vol. 16, no. 1, pp. 5-24, First Quarter 2014, doi: 10.1109/SURV.2013.050113.00015.
  10. M. R. Akdeniz et al., "Millimeter Wave Channel Modeling and Cellular Capacity Evaluation," in IEEE Journal on Selected Areas in Communications, vol. 32, no. 6, pp. 1164-1179, June 2014, doi: 10.1109/JSAC.2014.2328154.