Energy-Efficient Secure Communication for Ios Aided Cfmmimo Network

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2024

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Institute of Electrical and Electronics Engineers Inc.

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In 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.

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6G, CFMMIMO, IOS, RPM-CG, SSNM

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2024 IEEE/CIC International Conference on Communications in China, ICCC 2024 -- 2024 IEEE/CIC International Conference on Communications in China, ICCC 2024 -- 7 August 2024 through 9 August 2024 -- Hangzhou -- 202903

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803

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808