DOI QR코드

DOI QR Code

Joint Antenna Selection and Power Allocation Method Based on Quantum Energy Valley Optimization Algorithm for Massive MIMO IoT Systems

  • Xiaoyuan Gu (College of Information and Communication Engineering, Harbin Engineering University) ;
  • Hongyuan Gao (College of Information and Communication Engineering, Harbin Engineering University) ;
  • Jingya Ma (College of Information and Communication Engineering, Harbin Engineering University) ;
  • Shibo Zhang (College of Information and Communication Engineering, Harbin Engineering University) ;
  • Jiayi Wang (College of Information and Communication Engineering, Harbin Engineering University)
  • 투고 : 2024.04.25
  • 심사 : 2024.10.11
  • 발행 : 2024.10.31

초록

Massive multiple-input multiple-output (MIMO) has emerged as a pivotal technology to address the escalating communication demands of Internet of Things (IoT). To meet the data transmission needs in IoT systems, we propose an antenna selection method of massive MIMO systems and joint power allocation strategy considering IoT user devices grounded in quantum energy valley optimization (QEVO) in this paper. The derivation of a maximum energy efficiency equation has been established to optimize system resources and provide high quality of service meeting the IoT user devices requirements. To tackle the nonlinear, multiconstrained hybrid optimization challenge proposed for massive MIMO resource allocation in IoT systems, we introduce a quantum energy valley optimization algorithm. This algorithm harnesses the strengths of quantum computation and energy valley optimization (EVO) mechanisms. Simulations indicate that our proposed method can efficiently meet real-time user transmission requirements while markedly enhancing system energy efficiency. When compared with existing power allocation strategies and optimization algorithms applied in massive MIMO communication systems, our approach demonstrates superior performance. The proposed method demonstrates the highest performance across various simulation scenarios when applied to both allocation strategies and system energy efficiency. Our proposed method with highest performance can be properly used on massive IoT devices.

키워드

과제정보

This work was supported by the National Natural Science Foundation of China (62372131), the postdoctoral scientific research developmental fund of Heilongjiang Province (LBH-Q19098) and the Natural Science Foundation of Heilongjiang Province (LH2020F017).

참고문헌

  1. Z. Shen, J. Jin et al., "A Survey of Next-generation Computing Technologies in Space-air-ground Integrated Networks," ACM Computing Surveys, vol.56, no.1, pp.1-40, Jan. 2024.
  2. Y. Su, H. Gao, S. Zhang, "Hybrid Resource Allocation Scheme in Secure Intelligent Reflecting Surface-Assisted IoT," KSII Transactions on Internet and Information Systems, vol.16, no.10, pp.3256-3274, Oct. 2022.
  3. V. D. P. Souto, P. S. Dester et al., "Emerging MIMO Technologies for 6G Networks," Sensors, vol.23, no.4, pp.1921-1939, Feb. 2023. https://doi.org/10.3390/s23041921
  4. H. Tataria, M. Shafi et al., "6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities," Proceedings of the IEEE, vol.109, no.7, pp.1166-1199, Jul. 2021. https://doi.org/10.1109/JPROC.2021.3061701
  5. M. Giordani, M. Polese et al., "Toward 6G Networks: Use Cases and Technologies," IEEE Communications Magazine, vol.58, no.3, pp.55-61, Mar. 2020. https://doi.org/10.1109/MCOM.2020.9269935
  6. S. K. Ibrahim, M. J. Singh et al., "Design, Challenges and Developments for 5G Massive MIMO Antenna Systems at Sub 6-GHz Band: A Review," Nanomaterials, vol.13, no.3, Jan. 2023.
  7. B. M. Lee, and H. Yang, "Blocking Probability of Massive MIMO: What Is the Capacity of a Massive MIMO IoT System?," Journal of the Franklin Institute, vol.360, no.8, pp.5354-5374, May 2023. https://doi.org/10.1016/j.jfranklin.2023.03.050
  8. X. Zhou, X. Chen et al., "Attention-deep reinforcement learning jointly beamforming based on tensor decomposition for RIS-assisted V2X mmWave massive MIMO system," Complex & Intelligent Systems, vol.10, no.1, pp.145-160, Jul. 2023.
  9. A.-S. Bana, E. de Carvalho et al., "Massive MIMO for Internet of Things (IoT) connectivity," Physical Communication, vol.37, Dec. 2019.
  10. P. Liu, T. Jiang, "Channel Estimation Performance Analysis of Massive MIMO IoT Systems with Ricean Fading," IEEE Internet of Things Journal, vol.8, no.7, pp.6114-6126, Apr. 2021. https://doi.org/10.1109/JIOT.2020.3033667
  11. G. Liu, H. Deng, X. Qian, W. Zhang and H. Dong, "Joint Pilot and Data Power Control for CellFree Massive MIMO IoT Systems," IEEE Sensors Journal, vol.22, no.24, pp.24647-24657, Dec. 2022. https://doi.org/10.1109/JSEN.2022.3220746
  12. B. M. Lee, and H. Yang, "Energy efficient scheduling and power control of massive MIMO in massive IoT networks," Expert Systems with Applications, vol.200, Aug. 2022.
  13. Z. Gao, H. Xiu et al., "Multi-panel extra-large scale MIMO based joint activity detection and channel estimation for near-field massive IoT access," China Communications, vol.20, no.5, pp.232-243, May 2023. https://doi.org/10.23919/JCC.fa.2022-0138.202305
  14. H. Gao, Y. Su et al., "Joint Antenna Selection and Power Allocation for Secure Co-Time CoFrequency Full-Duplex Massive MIMO Systems," IEEE Transactions on Vehicular Technology, vol.70, no.1, pp.655-665, Jan. 2021. https://doi.org/10.1109/TVT.2020.3048854
  15. F. A. Pereira de Figueiredo, "An Overview of Massive MIMO for 5G and 6G," IEEE Latin America Transactions, vol.20, no.6, pp.931-940, Jun. 2022. https://doi.org/10.1109/TLA.2022.9757375
  16. I. B. Sofi and A. Gupta, "A survey on energy efficient 5G green network with a planned multi-tier architecture," Journal of Network and Computer Applications, vol.118, pp.1-28, Sep. 2018. https://doi.org/10.1016/j.jnca.2018.06.002
  17. P. Jain, A. Gupta et al., "Massive MIMO NOMA: Double-Mode Model towards Green 5G Networks," Sensors, vol.23, no.14, Jul. 2023.
  18. Z. Liu, C.-H. Lee et al., "Energy-Efficient Design for Massive MIMO with Hardware Impairments," IEEE Transactions on Wireless Communications, vol.20, no.2, pp.843-857, Feb. 2021. https://doi.org/10.1109/TWC.2020.3028769
  19. T. M. Hoang, T. Q. Duong et al., "Secure Massive MIMO Relaying Systems in a Poisson Field of Eavesdroppers," IEEE Transactions on Communications, vol.65, no.11, pp.4857-4870, Nov. 2017. https://doi.org/10.1109/TCOMM.2017.2723565
  20. P. D. Selvam, and K. S. Vishvaksenan, "Antenna Selection and Power Allocation in Massive MIMO," Radioengineering, vol.28, no.1, pp.340-346, Apr. 2019.
  21. I. Salah, M. M. Mabrook et al., "Energy efficiency optimization in adaptive massive MIMO networks for 5G applications using genetic algorithm," Optical and Quantum Electronics, vol.54, no.2, pp.1-11, Jan. 2022. https://doi.org/10.1007/s11082-021-03373-1
  22. D. Sabat, P. Pattanayak et al., "Design and analysis of quantized feedback based user-antenna joint scheduling scheme for ongoing 5G and beyond multi-user massive MIMO FDD communication systems," AEU - International Journal of Electronics and Communications, vol.174, Jan. 2024.
  23. H. Gao, Y. Su et al., "Antenna selection and power allocation design for 5G massive MIMO uplink networks," China Communications, vol.16, no.4, pp.1-15, Apr. 2019.
  24. A. Zappone, L. Sanguinetti et al., "Energy-Efficient Power Control: A Look at 5G Wireless Technologies," IEEE Transactions on Signal Processing, vol.64, no.7, pp.1668-1683, Apr. 2016. https://doi.org/10.1109/TSP.2015.2500200
  25. J. Xu, C. Guo et al., "Joint channel allocation and power control based on PSO for cellular networks with D2D communications," Computer Networks, vol.133, pp.104-119, Mar. 2018. https://doi.org/10.1016/j.comnet.2018.01.017
  26. Q.-V. Pham, S. Mirjalili et al., "Whale Optimization Algorithm with Applications to Resource Allocation in Wireless Networks," IEEE Transactions on Vehicular Technology, vol.69, no.4, pp.4285-4297, Apr. 2020. https://doi.org/10.1109/TVT.2020.2973294
  27. M. Azizi, U. Aickelin et al., "Energy valley optimizer: a novel metaheuristic algorithm for global and engineering optimization," Scientific Reports, vol.13, no.1, Jan. 2023.
  28. J. Li, M. Diao, "QBCO and NSQBCO Based Multi-User Single-Relay Selection Scheme in Cooperative Relay Networks," International Journal of Signal Processing, Image Processing and Pattern Recognition, vol.9, no.7, pp.407-424, Sep. 2016.
  29. H. Gao, S. Zhang et al., "Joint Resource Allocation and Power Control Algorithm for Cooperative D2D Heterogeneous Networks," IEEE Access, vol.7, pp.20632-20643, Jan. 2019. https://doi.org/10.1109/ACCESS.2019.2895975