Li, BinPanayırcı, ErdalHu, YulinDong, ZhichengPanayirci, ErdalJiang, HuilinWu, Qiang2024-11-152024-11-15202497983503784122377-8644https://doi.org/10.1109/ICCC62479.2024.10681874In this article, we investigate the security energy efficiency (SEE) of intelligent omni-surface (IOS) aided cell-free massive MIMO (CFMMIMO) networks. Firstly, we provide a SEE maximization design for the IOS-assisted CFMMIMO network. To address the formulated non-convex, multivariate problem, in particular, we first decouple the problem into two sub-problems, and design corresponding low-complexity algorithms for each sub-problem, including the joint optimization algorithm of the access point (AP) transmission beamforming and artificial noise covariance matrix based on semi-smooth Newton method (SSNM) as well as the joint optimization algorithm of IOS reflection-transmission phase shift matrix based on Riemannian product manifolds-conjugate gradient method (RPM-CG). The two subproblems are then iterated iteratively using the Block Coordinate Descent (BCD) algorithm to obtain the maximum SEE of the IOS-assisted CFMMIMO network. Simulation results show that the proposed algorithm outperforms the five baseline schemes in terms of SEE.eninfo:eu-repo/semantics/closedAccess6GIOSCFMMIMOSSNMRPM-CGConference Object803808WOS:00132983930014110.1109/ICCC62479.2024.106818742-s2.0-85206442782N/AN/A0