647 citations · 1.4k across the 61 of their papers we have counts for
6 papers · 2 filters
Advanced Machine Learning Techniques for Self-Interference Cancellation in Full-Duplex Radios
Andreas Toftegaard Kristensen, Andreas Burg, Alexios Balatsoukas-Stimming
In-band full-duplex systems allow for more efficient use of temporal and spectral resources by transmitting and receiving information at the same time and on the same frequency. Ho…
Coded LoRa Frame Error Rate Analysis
Orion Afisiadis, Andreas Burg, Alexios Balatsoukas-Stimming
In this work, we study the coded frame error rate (FER) of LoRa under additive white Gaussian noise (AWGN) and under carrier frequency offset (CFO). To this end, we use existing ap…
Design and Implementation of a Neural Network Based Predistorter for Enhanced Mobile Broadband
Chance Tarver, Alexios Balatsoukas-Stimming, Joseph R. Cavallaro
Digital predistortion is the process of correcting for nonlinearities in the analog RF front-end of a wireless transmitter. These nonlinearities contribute to adjacent channel leak…
Deep Unfolding for Communications Systems: A Survey and Some New Directions
Alexios Balatsoukas-Stimming, Christoph Studer
Deep unfolding is a method of growing popularity that fuses iterative optimization algorithms with tools from neural networks to efficiently solve a range of tasks in machine learn…
On the Error Rate of the LoRa Modulation with Interference
Orion Afisiadis, Matthieu Cotting, Andreas Burg +1
LoRa is a chirp spread-spectrum modulation developed for the Internet of Things. In this work, we examine the performance of LoRa in the presence of both additive white Gaussian no…
LoRa Symbol Error Rate Under Non-Chip- and Non-Phase-Aligned Interference
Orion Afisiadis, Matthieu Cotting, Andreas Burg +1
In this work, we examine the performance of the LoRa chirp spread spectrum modulation in the presence of both additive white Gaussian noise and interference from another LoRa user.…