1.1k citations · 3k across the 72 of their papers we have counts for
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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…
A Neural Network-Prepended GLRT Framework for Signal Detection Under Nonlinear Distortions
Rajeev Sahay, Swaroop Appadwedula, David J. Love +1
Many communications and sensing applications hinge on the detection of a signal in a noisy, interference-heavy environment. Signal processing theory yields techniques such as the g…
Nonparametric Decentralized Detection and Sparse Sensor Selection via Multi-Sensor Online Kernel Scalar Quantization
Jing Guo, Raghu G. Raj, David J. Love +1
Signal classification problems arise in a wide variety of applications, and their demand is only expected to grow. In this paper, we focus on the wireless sensor network signal cla…
Compressed Training for Dual-Wideband Time-Varying Sub-Terahertz Massive MIMO
Tzu-Hsuan Chou, Nicolo Michelusi, David J. Love +1
6G operators may use millimeter wave (mmWave) and sub-terahertz (sub-THz) bands to meet the ever-increasing demand for wireless access. Sub-THz communication comes with many existi…