67 citations · 178 across the 38 of their papers we have counts for
42 papers
Quantization-Aided Secrecy: FD C-RAN Communications with Untrusted Radios
Omid Taghizadeh, Tianyu Yang, Hiroki Iimori +3
In this work, we study a full-duplex (FD) cloud radio access network (C-RAN) from the aspects of infrastructure sharing and information secrecy, where the central unit utilizes FD…
Asymptotic Rate Analysis for Impairments-Aware Multi-Carrier FD Massive MIMO Relay Networks utilizing MRT/MRC Strategy
Vimal Radhakrishnan, Omid Taghizadeh, Rudolf Mathar
In this paper, we analyze the asymptotic rate for a multi-carrier (MC) full-duplex (FD) massive multiple input multiple output (mMIMO) decode and forward (DF) relay system which se…
Tight bounds on the mutual coherence of sensing matrices for Wigner D-functions on regular grids
Arya Bangun, Arash Behboodi, Rudolf Mathar
Many practical sampling patterns for function approximation on the rotation group utilizes regular samples on the parameter axes. In this paper, we relate the mutual coherence anal…
Rate Splitting for Massive MIMO Multi-carrier system using Full Duplex Decode and Forward Relay with Hardware Impairments
Vimal Radhakrishnan, Omid Taghizadeh, Rudolf Mathar
In this paper, we address the power allocation problem for a decode and forward (DF) relay system, where a massive multiple-input-multiple-output (mMIMO) multi-carrier (MC) base st…
Adversarial Risk Bounds for Neural Networks through Sparsity based Compression
Emilio Rafael Balda, Arash Behboodi, Niklas Koep +1
Neural networks have been shown to be vulnerable against minor adversarial perturbations of their inputs, especially for high dimensional data under attacks. To comba…
A Deep Learning Wireless Transceiver with Fully Learned Modulation and Synchronization
Johannes Schmitz, Caspar von Lengerke, Nikita Airee +2
In this paper, we present a deep learning based wireless transceiver. We describe in detail the corresponding artificial neural network architecture, the training process, and repo…