TY - GEN
T1 - Secrecy Analysis of Cell-free Massive MIMO-enabled UAV Communications
AU - Gao, Xiang
AU - Li, Yong
AU - Cheng, Wei
AU - Liu, Huimin
AU - Yan, Beiming
AU - Ren, Zerong
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This paper studies physical layer security for cell-free (CF) massive multiple-input-multiple-output (mMIMO)-enabled unmanned aerial vehicles (UAV) communication under threats from multiple UAV eavesdroppers (UAV-Eves). We consider spatially correlated Rician fading channels and two eavesdropping modes: non-colluding and colluding UAV-Eves. To counter multi-antenna UAV-Eves with successive interference cancellation capabilities, we propose an artificial noise (AN)-aided secure transmission scheme. Incorporating active pilot attacks and user-centric (UC) clustering, we derive a closed-form secrecy rate lower bound under conjugate beamforming. Numerical results show that UC clustering significantly improves security compared to CF architecture, whereas pilot attacks degrade secrecy performance. Moreover, colluding UAV-Eves exhibit substantially higher security threats than non-colluding ones. The proposed AN-aided scheme ensures robust secrecy enhancement, particularly against advanced UAV-Eves.
AB - This paper studies physical layer security for cell-free (CF) massive multiple-input-multiple-output (mMIMO)-enabled unmanned aerial vehicles (UAV) communication under threats from multiple UAV eavesdroppers (UAV-Eves). We consider spatially correlated Rician fading channels and two eavesdropping modes: non-colluding and colluding UAV-Eves. To counter multi-antenna UAV-Eves with successive interference cancellation capabilities, we propose an artificial noise (AN)-aided secure transmission scheme. Incorporating active pilot attacks and user-centric (UC) clustering, we derive a closed-form secrecy rate lower bound under conjugate beamforming. Numerical results show that UC clustering significantly improves security compared to CF architecture, whereas pilot attacks degrade secrecy performance. Moreover, colluding UAV-Eves exhibit substantially higher security threats than non-colluding ones. The proposed AN-aided scheme ensures robust secrecy enhancement, particularly against advanced UAV-Eves.
KW - artificial noise-aided
KW - cell-free massive MIMO
KW - physical layer security
KW - unmanned aerial vehicles
KW - user-centric clustering
UR - https://www.scopus.com/pages/publications/105021490781
U2 - 10.1109/ICSPCC66825.2025.11194450
DO - 10.1109/ICSPCC66825.2025.11194450
M3 - 会议稿件
AN - SCOPUS:105021490781
T3 - Proceedings of 2025 IEEE 15th International Conference on Signal Processing, Communications and Computing, ICSPCC 2025
BT - Proceedings of 2025 IEEE 15th International Conference on Signal Processing, Communications and Computing, ICSPCC 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2025
Y2 - 18 July 2025 through 21 July 2025
ER -