Panayırcı, ErdalLi,B.Hu,Y.Dong,Z.Panayirci,E.Jiang,H.Wu,Q.2024-11-152024-11-152024979-835037841-2https://doi.org/10.1109/ICCC62479.2024.10681874https://hdl.handle.net/20.500.12469/6719In this article, we investigate the security energy efficiency (SEE) of intelligent omni-surface (IOS) aided cellfree 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. © 2024 IEEE.eninfo:eu-repo/semantics/closedAccess6GCFMMIMOIOSRPM-CGSSNMConference Object80380810.1109/ICCC62479.2024.106818742-s2.0-85206442782N/AN/A