647 citations · 1.4k across the 61 of their papers we have counts for
23 papers · 1 filter
ComplexBeat: Breathing Rate Estimation from Complex CSI
Sitian Li, Andreas Toftegaard Kristensen, Andreas Burg +1
In this paper, we explore the use of channel state information (CSI) from a WiFi system to estimate the breathing rate of a person in a room. In order to extract WiFi CSI component…
Training Channel Selection for Learning-based 1-bit Precoding in Massive MU-MIMO
Sitian Li, Andreas Burg, Alexios Balatsoukas-Stimming
Learning-based algorithms have gained great popularity in communications since they often outperform even carefully engineered solutions by learning from training samples. In this…
An SDR-Based Monostatic Wi-Fi System with Analog Self-Interference Cancellation for Sensing
Andreas Toftegaard Kristensen, Alexios Balatsoukas-Stimming, Andreas Burg
Wireless sensing offers an alternative to wearables for contactless monitoring of human activity and vital signs. However, most existing systems use bistatic setups, which suffer f…
Band-of-Interest-based Channel Impulse Response Fusion for Breathing Rate Estimation with UWB
Sitian Li, Alexios Balatsoukas-Stimming, Andreas Burg
The channel impulse response (CIR) obtained from the channel estimation step of various wireless systems is a widely used source of information in wireless sensing. Breathing rate…
Single-anchor UWB Localization using Channel Impulse Response Distributions
Sitian Li, Alexios Balatsoukas-Stimming, Andreas Burg
Ultra-wideband (UWB) devices are widely used in indoor localization scenarios. Single-anchor UWB localization shows advantages because of its simple system setup compared to conven…
On the Implementation Complexity of Digital Full-Duplex Self-Interference Cancellation
Andreas Toftegaard Kristensen, Alexios Balatsoukas-Stimming, Andreas Burg
In-band full-duplex systems promise to further increase the throughput of wireless systems, by simultaneously transmitting and receiving on the same frequency band. However, concur…
A Maximum-Likelihood-based Multi-User LoRa Receiver Implemented in GNU Radio
Mathieu Xhonneux, Joachim Tapparel, Orion Afisiadis +2
LoRa is a popular low-power wide-area network (LPWAN) technology that uses spread-spectrum to achieve long-range connectivity and resilience to noise and interference. For energy e…
Non-Linear Self-Interference Cancellation via Tensor Completion
Freek Jochems, Alexios Balatsoukas-Stimming
Non-linear self-interference (SI) cancellation constitutes a fundamental problem in full-duplex communications, which is typically tackled using either polynomial models or neural…
On the Advantage of Coherent LoRa Detection in the Presence of Interference
Orion Afisiadis, Sitian Li, Andreas Burg +1
It has been shown that the coherent detection of LoRa signals only provides marginal gains of around 0.7 dB on the additive white Gaussian noise (AWGN) channel. However, ALOHA-base…
Lupulus: A Flexible Hardware Accelerator for Neural Networks
Andreas Toftegaard Kristensen, Robert Giterman, Alexios Balatsoukas-Stimming +1
Neural networks have become indispensable for a wide range of applications, but they suffer from high computational- and memory-requirements, requiring optimizations from the algor…
OptComNet: Optimized Neural Networks for Low-Complexity Channel Estimation
Michel van Lier, Alexios Balatsoukas-Stimming, Henk Corporaaal +1
The use of machine learning methods to tackle challenging physical layer signal processing tasks has attracted significant attention. In this work, we focus on the use of neural ne…
An Open-Source LoRa Physical Layer Prototype on GNU Radio
Joachim Tapparel, Orion Afisiadis, Paul Mayoraz +2
LoRa is the proprietary physical layer (PHY) of LoRaWAN, which is a popular Internet-of-Things (IoT) protocol enabling low-power devices to communicate over long ranges. A number o…
Identification of Non-Linear RF Systems Using Backpropagation
Andreas Toftegaard Kristensen, Andreas Burg, Alexios Balatsoukas-Stimming
In this work, we use deep unfolding to view cascaded non-linear RF systems as model-based neural networks. This view enables the direct use of a wide range of neural network tools…
Hardware Implementation of Neural Self-Interference Cancellation
Yann Kurzo, Andreas Toftegaard Kristensen, Andreas Burg +1
In-band full-duplex systems can transmit and receive information simultaneously on the same frequency band. However, due to the strong self-interference caused by the transmitter t…
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.…
Design and Implementation of a Neural Network Aided Self-Interference Cancellation Scheme for Full-Duplex Radios
Yann Kurzo, Andreas Burg, Alexios Balatsoukas-Stimming
In-band full-duplex systems are able to transmit and receive information simultaneously on the same frequency band. Due to the strong self-interference caused by the transmitter to…
On the Tradeoff Between Accuracy and Complexity in Blind Detection of Polar Codes
Pascal Giard, Alexios Balatsoukas-Stimming, Andreas Burg
Polar codes are a recent family of error-correcting codes with a number of desirable characteristics. Their disruptive nature is illustrated by their rapid adoption in the …
Non-Linear Digital Self-Interference Cancellation for In-Band Full-Duplex Radios Using Neural Networks
Alexios Balatsoukas-Stimming
Full-duplex systems require very strong self-interference cancellation in order to operate correctly and a significant part of the self-interference signal is due to non-linear eff…