Journal of Platform Technology

ICT Platform Society (ICT플랫폼학회)
권호 표지

Resource Allocation Algorithm for Multiple RIS-Assisted UAV Networks

다중 UAV-RIS 네트워크를 위한 자원 할당 알고리즘

  • 박희재 (서울과학기술대학교 컴퓨터공학과) ;
  • 박래혁 (서울과학기술대학교 컴퓨터공학과)
  • Received : 2023.02.06
  • Accepted : 2023.02.10
  • Published : 2023.02.28
Download PDF
⟨ Previous Next ⟩

Abstract

Unmanned Aerial Vehicles (UAVs) have gained significant attention in 5G and 6G wireless networks due to their high flexibility and low hardware costs. However, UAV communication is still challenged by blockage and energy consumption issues. Reconfigurable Intelligent Surfaces (RISs) have emerged as a promising solution to these challenges, enabling improved spectral efficiency and reduced energy consumption by transmitting signals to users who cannot receive signals because of the obstacles. Many previous studies have focused on minimizing power consumption and data transmission delay through phase shift and power optimization. This paper proposes an algorithm that maximizes the sum rate by including bandwidth optimization. Simulation results demonstrate the effectiveness of the proposed algorithm.

최근 Unmanned Aerial Vehicles (UAVs)은 높은 유동성 및 낮은 하드웨어 비용으로 5G, 6G 무선 통신에서 큰 관심을 받고 있다. 여전히 Blockage와 에너지 문제가 존재하지만 이러한 문제들은 Reconfigurable Intelligent Surface (RIS)를 활용하여 해결할 수 있다. 또한 RIS를 UAV 통신에 이용함으로써 신호를 받지 못하는 사용자에게 신호를 전송하여 Spectral Efficiency를 향상시키며, 에너지 소비를 줄일 수 있다. 현재 대부분의 연구들은 송신 전력과 RIS 위상을 교대로 최적화하여 Power Consumption 최소화 및 데이터 전송 Delay 최소화 등의 목적을 달성하였다. 본 논문에서는 대역폭 최적화를 포함하여 합산 정보 전달율을 최대화하는 알고리즘을 제안한다. 이에 대한 성능평가를 진행하였고, 시뮬레이션을 통해 제안한 알고리즘의 우수성을 보였다.

Keywords

Acknowledgement

이 연구는 서울과학기술대학교 교내연구비의 지원으로 수행되었습니다.

References

  1. Y. Zeng, and R. Zhang, "Energy-efficient UAV communication with trajectory optimization," IEEE Trans. Wirel. Commun., Vol. 16, No. 6, pp. 3747-3760, Mar. 2017.  https://doi.org/10.1109/TWC.2017.2688328
  2. C. Yan, L. Fu, J. Zhang, and J. Wang, "A comprehensive survey on UAV communication channel modeling," IEEE Access, Vol. 7, pp. 107769-107792, Aug. 2019.  https://doi.org/10.1109/ACCESS.2019.2933173
  3. T. Alladi, G. Bansal, V. Chamola, and M. Guizani, "SecAuthUAV: A novel authentication scheme for UAV-ground station and UAV-UAV communication," IEEE Trans. Veh. Technol., Vol. 69, No. 12, pp. 15068-15077, Oct. 2020.  https://doi.org/10.1109/TVT.2020.3033060
  4. T. Shafique, H. Tabassum, and E. Hossain, "Optimization of wireless relaying with flexible UAVborne reflecting surfaces," IEEE Trans Commun., Vol. 69, No. 1, pp. 309-325, Oct. 2020.  https://doi.org/10.1109/TCOMM.2020.3032700
  5. Y. Li, C. Yin, T. Do-Duy, A. Masaracchia, and T. Q. Duong, "Aerial reconfigurable intelligent surface-enabled URLLC UAV systems," IEEE Access, Vol. 9, pp. 140248-140257, Oct. 2021.  https://doi.org/10.1109/ACCESS.2021.3119268
  6. S. Li, B. Duo, M. D. Renzo, M. Tao, and X. Yuan, "Robust secure UAV communications with the aid of reconfigurable intelligent surfaces," IEEE Trans. Wirel. Commun., Vol. 20, No. 10, pp. 6402-6417, Apr. 2021.  https://doi.org/10.1109/TWC.2021.3073746
  7. H. Park, T. H. Nguyen, and L. Park. "Federated Deep Learning for RIS-assisted UAV-enabled Wireless Communications," in 2022 13th International Conference on Information and Communication Technology Convergence (ICTC), Jeju Island, Korea, 2022, pp. 831-833. 
  8. H. Park, T. H. Nguyen, and L. Park. "Reconfigurable Intelligent Surface-assisted System Models for Uplink Communications," in 13th International Conference on Information and Communication Technology Convergence (ICTC), Jeju Island, Korea, 2022, pp. 828-830. 
  9. X. Liu, Y. Liu, and Y. Chen, "Machine learning empowered trajectory and passive beamforming design in UAV-RIS wireless networks," IEEE J. Sel. Areas Commun., Vol. 39, No. 7, pp. 2042- 2055, Dec. 2020.  https://doi.org/10.1109/JSAC.2020.3041401
  10. A. Ranjha, and G. Kaddoum, "URLLC facilitated by mobile UAV relay and RIS: A joint design of passive beamforming, blocklength, and UAV positioning," IEEE Internet Things J., Vol. 8, No. 6, pp. 4618-4627, Sep. 2020.  https://doi.org/10.1109/JIOT.2020.3027149
  11. H. Long, M. Chen, Z. Yang, Z. Li, B. Wang, X. Yun, and M. Shikh-Bahaei, "Joint trajectory and passive beamforming design for secure UAV networks with RIS," in 2020 IEEE Globecom Workshops (GC Wkshps), Taipei, TW, 2020, pp. 1-6. 
  12. M. D. Nguyen, T. M. Ho, L. B. Le, and A. Girard, "UAV placement and bandwidth allocation for UAV based wireless networks," in 2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, 2019, pp. 1-6, 
  13. C. Huang, A. Zappone, G. C. Alexandropoulos, M. Debbah, and C. Yuen, "Reconfigurable intelligent surfaces for energy efficiency in wireless communication," IEEE Trans. Wirel. Commun., Vol. 18, No. 8, pp. 4157-4170, Aug. 2019.  https://doi.org/10.1109/TWC.2019.2922609
  14. C. Pan, H. Ren, K. Wang, W. Xu, M. Elkashlan, A. Nallanathan, and L. Hanzo, "Multicell MIMO communications relying on intelligent reflecting surfaces," IEEE Trans. Wirel. Commun., Vol. 19, No. 8, pp. 5218-5233, Aug. 2020.  https://doi.org/10.1109/TWC.2020.2990766
  15. C. Huang, G. C.Alexandropoulos, A. Zappone, M. Debbah, and C. Yuen, "Energy efficient multiuser MISO communication using low resolution large intelligent surfaces," in 2018 IEEE Globecom Workshops (GC Wkshps), Abu Dubai, AE, 2018, pp. 1-6. 
  16. C. Huang, R. Mo, and C. Yuen, "Reconfigurable intelligent surface assisted multiuser MISO systems exploiting deep reinforcement learning," IEEE J. Sel. Areas Commun., Vol. 38, No. 8, pp. 1839-1850, Aug. 2020.  https://doi.org/10.1109/JSAC.2020.3000835