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eess.SP2022
Defending Adversarial Attacks on Deep Learning Based Power Allocation in Massive MIMO Using Denoising Autoencoders
Rajeev Sahay, Minjun Zhang, David J. Love +1
Recent work has advocated for the use of deep learning to perform power allocation in the downlink of massive MIMO (maMIMO) networks. Yet, such deep learning models are vulnerable…
eess.SP2021
Learning-Based Adaptive IRS Control with Limited Feedback Codebooks
Junghoon Kim, Seyyedali Hosseinalipour, Andrew C. Marcum +3
Intelligent reflecting surfaces (IRS) consist of configurable meta-atoms, which can change the wireless propagation environment through design of their reflection coefficients. We…