4 citations · 5 across the 3 of their papers we have counts for
7 papers
Blind Coherent Preamble Detection via Neural Networks
Jafar Mohammadi, Gerhard Schreiber, Thorsten Wild +1
In wireless communications systems, the user equipment (UE) transmits a random access preamble sequence to the base station (BS) to be detected and synchronized. In standardized ce…
Interference Prediction for Low-Complexity Link Adaptation in Beyond 5G Ultra-Reliable Low-Latency Communications
Alessandro Brighente, Jafar Mohammadi, Paolo Baracca +2
Traditional link adaptation (LA) schemes in cellular network must be revised for networks beyond the fifth generation (b5G), to guarantee the strict latency and reliability require…
Turbo-AI: Iterative Machine Learning Based Channel Estimation for 2D Massive Arrays
Yejian Chen, Jafar Mohammadi, Stefan Wesemann +1
Recently, Machine Learning (ML) is recognized as an effective tool for wireless communications and plays an evolutionary role to enhance Physical Layer (PHY) of 5th Generation (5G)…
Interference Distribution Prediction for Link Adaptation in Ultra-Reliable Low-Latency Communications
Alessandro Brighente, Jafar Mohammadi, Paolo Baracca
The strict latency and reliability requirements of ultra-reliable low-latency communications (URLLC) use cases are among the main drivers in fifth generation (5G) network design. L…
Improved Differentially Private Decentralized Source Separation for fMRI Data
Hafiz Imtiaz, Jafar Mohammadi, Rogers Silva +4
Blind source separation algorithms such as independent component analysis (ICA) are widely used in the analysis of neuroimaging data. In order to leverage larger sample sizes, diff…
Distributed Differentially Private Computation of Functions with Correlated Noise
Hafiz Imtiaz, Jafar Mohammadi, Anand D. Sarwate
Many applications of machine learning, such as human health research, involve processing private or sensitive information. Privacy concerns may impose significant hurdles to collab…