240 citations · 579 across the 25 of their papers we have counts for
6 papers · 1 filter
Perturbation Theory-Aided Learned Digital Back-Propagation Scheme for Optical Fiber Nonlinearity Compensation
Xiang Lin, Shenghang Luo, Sunish Kumar Orappanpara Soman +4
Derived from the regular perturbation treatment of the nonlinear Schrodinger equation, a machine learning-based scheme to mitigate the intra-channel optical fiber nonlinearity is p…
Power Line Communication and Sensing Using Time Series Forecasting
Yinjia Huo, Gautham Prasad, Lutz Lampe +1
Smart electrical grids rely on data communication to support their operation and on sensing for diagnostics and maintenance. Usually, the roles of communication and sensing equipme…
Outage Performance Analysis of Widely Linear Receivers in Uplink Multi-user MIMO Systems
Ronghua Gui, Naveen Mysore Balasubramanya, Lutz Lampe
This paper considers the application of widely linear (WL) receivers in an uplink multi-user system using real-valued modulation schemes, where the cellular base station (BS) with…
Deep Neural Network Assisted Second-Order Perturbation-Based Nonlinearity Compensation
O. S. Sunish Kumar, Lutz Lampe, Shenghang Luo +3
We propose a fiber nonlinearity post-compensation technique using the DNN and the second-order perturbation theory. We achieve 1 dB Q-factor improvement for a 32 Gbaud PDM-64-QAM a…
Prospects and applications of photonic neural networks
Chaoran Huang, Volker J. Sorger, Mario Miscuglio +13
Neural networks have enabled applications in artificial intelligence through machine learning, and neuromorphic computing. Software implementations of neural networks on convention…
Synchronized SCUBA: D2D Communication for Out-of-Sync Devices
Vishnu Rajendran Chandrika, Gautham Prasad, Lutz Lampe +1
Device-to-device (D2D) communication is an essential component enabling connectivity for the Internet-of-Things (IoT). SCUBA, which stands for Sidelink Communication on Unlicensed…