DOI QR코드

DOI QR Code

송신 안테나 선택을 이용하는 하향링크 비직교 다중 접속 시스템에서 아웃티지 개선을 위한 자원 할당 기법

Resource Allocation Scheme for Outage Enhancement in Downlink Non-Orthogonal Multiple Access Systems Using Transmit Antenna Selection

  • Lee, In-Ho (School of Electronic and Electrical Engineering, Hankyong National University)
  • 투고 : 2022.07.06
  • 심사 : 2022.07.29
  • 발행 : 2022.09.30

초록

본 논문에서는 다중 송신 안테나를 이용하는 하향링크 비직교 다중 접속 시스템을 고려한다. 여기서, 시스템 복잡도를 줄이기 위하여 송신 안테나 선택 기법을 이용한다. 따라서, 본 논문에서는 송신 안테나 선택을 이용하는 하향링크 비직교 다중 접속 시스템의 아웃티지 확률 성능을 개선하기 위한 무선 자원 할당 및 수신기 선택 기법을 제안한다. 특히, 수신기 선택 기법은 아웃티지 성능 개선을 위한 수신기들의 그룹핑 방법을 의미하고, 무선 자원 할당 기법은 아웃티지 성능 개선을 위한 각각의 그룹에 대한 자원 할당 방법을 의미한다. 또한, 레일레이 페이딩 채널을 가정한 컴퓨터 시뮬레이션을 통하여 제안 기법이 총 데이터 전송률의 손실로부터 아웃티지 확률 성능을 개선할 수 있음을 보여준다.

In this paper, we consider a downlink non-orthogonal multiple access (NOMA) using multiple transmit antennas, where the transmit antenna selection scheme is used to reduce the system complexity. Thus, in this paper, we propose radio resource allocation and receiver selection schemes in order to improve the outage probability performance of the downlink NOMA system using the transmit antenna selection scheme. In particular, the receiver selection scheme is a method of grouping the receivers to improve the outage probability performance, and the radio resource allocation scheme is a method of allocating radio resources to each group in order to enhance the outage probability performance. In addition, through the computer simulation under the assumption of independent Rayleigh fading channels, we show that the proposed radio resource allocation and receiver selection schemes can improve the outage probability performance at the expense of the sum rate performance.

키워드

과제정보

This research was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (Grant number: NRF-2022R1A2C1003388).

참고문헌

  1. Y. Yuan, S. Wang, Y. Wu, H. V. Poor, Z. Ding, X. You, and L. Hanzo, "NOMA for Next-Generation Massive IoT: Performance Potential and Technology Directions," IEEE Communication Magazine, vol. 59, no. 7, pp. 115-121, Jul. 2021. https://doi.org/10.1109/MCOM.001.2000997
  2. K. Yang, N. Yang, N. Ye, M. Jia, Z. Gao, and R. Fan, "Non-orthogonal multiple access: Achieving sustainable future radio access," IEEE Communications Magazine, vol. 57, no. 2, pp. 116-121, Feb. 2019.
  3. D. T. Do, T. L. Nguyen, and B. M. Lee, "Transmit Antenna Selection Schemes for NOMA with Randomly Moving Interferers in Interference-Limited Environment," Electronics, vol. 9, no. 1, pp. 1-15, Jan. 2020.
  4. F. Zhu, Z. Lu, J. Zhu, J. Wang, and Y. Huang, "Beamforming Design for Downlink Non-Orthogonal Multiple Access Systems," IEEE Access, vol. 6, pp. 10956-10965, Jan. 2018. https://doi.org/10.1109/ACCESS.2018.2797209
  5. H. M. Al-Obiedollah, K. Cumanan, J. Thiyagalingam, A. G. Burr, Z. Ding, and O. A. Dobre, "Energy Efficient Beamforming Design for MISO Non-Orthogonal Multiple Access Systems," IEEE Transactions on Communications, vol. 67, no. 6, pp. 4117-4131, Jun. 2019. https://doi.org/10.1109/TCOMM.2019.2900634
  6. M. Aldababsa and O. Kucur, "Majority based antenna selection schemes in downlink NOMA network with channel estimation errors and feedback delay," IET Communications, vol. 14, no. 17, pp. 2931-2943, Oct. 2020. https://doi.org/10.1049/iet-com.2019.0937
  7. M. Aldababsa, E. Guven, M. A. Durmaz, C. Goztepe, G. K. Kurt, and O. Kucur, "Unified Performance Analysis of Antenna Selection Schemes for Cooperative MIMO-NOMA With Practical Impairments," IEEE Transactions on Wireless Communications, vol. 21, no. 6, pp. 4364-4378, Jun. 2022. https://doi.org/10.1109/TWC.2021.3129307
  8. H. Lei, J. Zhang, K.-H. Park, P. Xu, I. S. Ansari, G. Pan, B. Alomair, and M.-S. Alouini, "On secure NOMA systems with transmit antenna selection schemes," IEEE Access, vol. 5, pp. 17450-17464, Aug. 2017. https://doi.org/10.1109/ACCESS.2017.2737330
  9. N. Yang, H. Zhang, K. Long, H. Hsieh, and J. Liu, "Deep Neural Network for Resource Management in NOMA Networks," IEEE Transactions on Vehicular Technology, vol. 69, no. 1, pp. 876-886, Jan. 2020. https://doi.org/10.1109/TVT.2019.2951822
  10. D. Kim and I. -H. Lee, "User Association and Power Allocation Scheme Using Deep Learning Algorithm Non-Orthogonal Multiple Access Based Heterogeneous Networks," Journal of the Korea Institute of Information and Communication Engineering, vol. 26, no. 3, pp. 430-435, Mar. 2022. https://doi.org/10.6109/JKIICE.2022.26.3.430
  11. L. Dai, B. Wang, Z. Ding, Z. Wang, S. Chen, and L. Hanzo, "A Survey of Non-Orthogonal Multiple Access for 5G," IEEE Communications Surveys & Tutorials, vol. 20, no. 3, pp. 2294-2323, May. 2018. https://doi.org/10.1109/COMST.2018.2835558