TY - JOUR
T1 - Random Matrix Analysis of Secrecy Outage Probability for MISO Systems With RZF Precoding
AU - Zhang, Xin
AU - Wang, Jingjing
AU - Song, Shenghui
AU - Debbah, Merouane
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - With its capability to obtain a good tradeoff between complexity and performance, regularized zero-forcing (RZF) has been widely investigated to enhance the physical layer security. However, the associated reliability performance, i.e., secrecy outage probability (SOP), is not yet available in the literature. In this paper, we characterize the secrecy performance of RZF in the multi-user, downlink multiple-input single-output system. For this purpose, we first set up a central limit theorem for the joint distribution of users' signal-to-interference-plus-noise ratio and eavesdropper's signal-to-noise ratio by leveraging random matrix theory. The result is then utilized to obtain a closed-form approximation for the ergodic secrecy rate and SOP of three typical scenarios: the case with only external Eves, the case with only internal Eves, and that with both. The derived results are then used to evaluate the percentage of users in secrecy outage and the required number of transmit antennas to achieve a positive secrecy rate. It is shown that, with equally-capable Eves, the secrecy loss caused by external Eves is higher than that caused by internal Eves. Numerical simulations validate the accuracy of the theoretical results and demonstrate the advantage of RZF over other linear transmitters such as ZF.
AB - With its capability to obtain a good tradeoff between complexity and performance, regularized zero-forcing (RZF) has been widely investigated to enhance the physical layer security. However, the associated reliability performance, i.e., secrecy outage probability (SOP), is not yet available in the literature. In this paper, we characterize the secrecy performance of RZF in the multi-user, downlink multiple-input single-output system. For this purpose, we first set up a central limit theorem for the joint distribution of users' signal-to-interference-plus-noise ratio and eavesdropper's signal-to-noise ratio by leveraging random matrix theory. The result is then utilized to obtain a closed-form approximation for the ergodic secrecy rate and SOP of three typical scenarios: the case with only external Eves, the case with only internal Eves, and that with both. The derived results are then used to evaluate the percentage of users in secrecy outage and the required number of transmit antennas to achieve a positive secrecy rate. It is shown that, with equally-capable Eves, the secrecy loss caused by external Eves is higher than that caused by internal Eves. Numerical simulations validate the accuracy of the theoretical results and demonstrate the advantage of RZF over other linear transmitters such as ZF.
KW - Physical layer security (PLS)
KW - central limit theorem (CLT)
KW - multiple-input single-output (MISO)
KW - random matrix theory (RMT)
KW - regularized zero-forcing (RZF) precoding
UR - https://www.scopus.com/pages/publications/105031968146
U2 - 10.1109/TCOMM.2026.3669497
DO - 10.1109/TCOMM.2026.3669497
M3 - 文章
AN - SCOPUS:105031968146
SN - 0090-6778
VL - 74
SP - 5733
EP - 5748
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
ER -