14 citations · 20 across the 5 of their papers we have counts for
7 papers
A comparison between black-, grey- and white-box modeling for the bidirectional Raman amplifier optimization
Metodi P. Yankov, Mehran Soltani, Andrea Carena +2
Designing and optimizing optical amplifiers to maximize system performance is becoming increasingly important as optical communication systems strive to increase throughput. Offlin…
Experimental validation of machine-learning based spectral-spatial power evolution shaping using Raman amplifiers
Mehran Soltani, Francesco Da Ros, Andrea Carena +1
We experimentally validate a real-time machine learning framework, capable of controlling the pump power values of Raman amplifiers to shape the signal power evolution in two-dimen…
Experimental Validation of Spectral-Spatial Power Evolution Design Using Raman Amplifiers
Mehran Soltani, Francesco Da Ros, Andrea Carena +1
We experimentally validate a machine learning-enabled Raman amplification framework, capable of jointly shaping the signal power evolution in two domains: frequency and fiber dista…
Spectral and spatial power evolution design with machine learning-enabled Raman amplification
Mehran Soltani, Francesco Da Ros, Andrea Carena +1
We present a machine learning (ML) framework for designing desired signal power profiles over the spectral and spatial domains in the fiber span. The proposed framework adjusts the…
Pilot Pattern Design for Deep Learning-Based Channel Estimation in OFDM Systems
Mehran Soltani, Vahid Pourahmadi, Hamid Sheikhzadeh
In this paper, we present a downlink pilot design scheme for Deep Learning (DL) based channel estimation (ChannelNet) in orthogonal frequency-division multiplexing (OFDM) systems.…
Deep Feature Selection using a Teacher-Student Network
Ali Mirzaei, Vahid Pourahmadi, Mehran Soltani +1
High-dimensional data in many machine learning applications leads to computational and analytical complexities. Feature selection provides an effective way for solving these proble…
Deep Learning-Based Channel Estimation
Mehran Soltani, Vahid Pourahmadi, Ali Mirzaei +1
In this paper, we present a deep learning (DL) algorithm for channel estimation in communication systems. We consider the time-frequency response of a fast fading communication cha…