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Andreas Peter Burg

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Publications associées (211)

Coded LoRa Frame Error Rate Analysis

Andreas Peter Burg, Alexios Konstantinos Balatsoukas Stimming, Orion Afisiadis

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 approximations for the bit error rate (BER) of the LoRa modulation under AWGN ...

IEEE2020

Identification of Non-Linear RF Systems Using Backpropagation

Andreas Peter Burg, Alexios Konstantinos Balatsoukas Stimming, Andreas Toftegaard Kristensen

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 and optimizers to efficiently identify such cascaded models. We demonstrate ...

IEEE2020

A Maximum-Likelihood-based Multi-User LoRa Receiver Implemented in GNU Radio

Andreas Peter Burg, Alexios Konstantinos Balatsoukas Stimming, Orion Afisiadis, Joachim Tobias Tapparel, Mathieu Pierre Xhonneux

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 efficiency reasons, LoRa adopts a pure ALOHA access scheme, which leads to re ...

IEEE2020

Complexity-efficient Fano Decoding of Polarization-adjusted Convolutional (PAC) Codes

Andreas Peter Burg

Polarization-adjusted convolutional (PAC) codes are modified polar codes in which a one-to-one convolutional transformation is employed before the classical polar transform. Fano decoding of PAC codes in the Shannon lecture at ISIT2019 showed an outstandin ...

IEEE2020

Hardware Implementation of Neural Self-Interference Cancellation

Andreas Peter Burg, Alexios Konstantinos Balatsoukas Stimming, Yann Kurzo, Andreas Toftegaard Kristensen

In-band full-duplex systems can transmit and receive information simultaneously and on the same frequency band. However, due to the strong self-interference caused by the transmitter to its own receiver, the use of non-linear digital self-interference canc ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

3.5 GHz Coverage Assessment with a 5G Testbed

Ruben Merz, Andreas Peter Burg, Adrian Schumacher

Today, cellular networks have saturated frequencies below 3 GHz. Because of increasing capacity requirements, 5th generation (5G) mobile networks target the 3.5 GHz band (3.4 to 3.8 GHz). Despite its expected wide usage, there is little empirical path loss ...

IEEE2019

A 0.5 V 2.5 mu W/MHz Microcontroller with Analog-Assisted Adaptive Body Bias PVT Compensation with 3.13 nW/kB SRAM Retention in 55 nm Deeply-Depleted Channel CMOS

David Ruffieux, Andreas Peter Burg, Thomas Christoph Müller

Microcontroller systems operating at low supply voltage in near- or sub-threshold regime suffer both from increased effects of PVT (Process, Voltage, Temperature) variation and from a larger share of leakage on overall power due to the reduced frequency. W ...

IEEE2019

JESD204B Compliant 12.5 Gb/s LVDS and SST Transmitters in 28 nm FD-SOI CMOS

Yusuf Leblebici, Seyed Armin Tajalli, Andreas Peter Burg, Ayça Akkaya, Firat Çelik

JESD204B compliant low-voltage differential signaling (LVDS), and source-series-terminated (SST) transmitters in 28 nm FD-SOI CMOS technology are presented with 1.1 pJ/bit and 1.7 pJ/bit at 12.5 Gb/s, respectively. An external 6.25 GHz single-ended clock, ...

IEEE2019

GC-eDRAM With Body-Bias Compensated Readout and Error Detection in 28-nm FD-SOI

Andreas Peter Burg, Andrea Bonetti, Adam Shmuel Teman, Robert Giterman

Gain-cell embedded DRAM (GC-eDRAM) is an attractive alternative to conventional SRAM due to its high-density, low-leakage, and inherent two-ported functionality. However, its dynamic storage mechanism requires power-hungry refresh cycles to maintain data. ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

Advanced Machine Learning Techniques for Self-Interference Cancellation in Full-Duplex Radios

Andreas Peter Burg, Andreas Toftegaard Kristensen

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. However, this creates a strong self-interference signal at the receiver, makin ...

IEEE2019

2019 International Symposium on Low Power Electronics and Design

Andreas Peter Burg

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

Lora Digital Receiver Analysis And Implementation

Andreas Peter Burg, Matthieu Cotting, Orion Afisiadis, Reza Ghanaatian Jahromi

Low power wide area network technologies (LPWANs) are attracting attention because they fulfill the need for long range low power communication for the Internet of Things. LoRa is one of the proprietary LPWAN physical layer (PHY) technologies, which provid ...

IEEE2019

A 4.8pJ/b 6Gb/s ADC-Based PAM-4 Wireline Receiver Data -Path with Cyclic Prefix in 14nm FinFET

Yusuf Leblebici, Alessandro Cevrero, Andreas Peter Burg, Gain Kim, Lukas Kull, Thomas Toifl, Cosimo Aprile, Ilter Ozkaya

This work presents an ADC-bascd receiver (RX) data-path for frame-based PAM-4 modulation with a cyclic prefix (CP). Similar to discrete multi-tone (DMT) modulation, a frame of PAM-4 symbols arc protected from the channel delay spread by the CP taps. A PAM- ...

IEEE2019

Feedback-Aware Precoding for Millimeter Wave Massive MIMO Systems

Andreas Peter Burg, Reza Ghanaatian Jahromi

Millimeter wave (mmWave) communication is a promising solution for coping with the ever-increasing mobile data traffic because of its large bandwidth. To enable a sufficient link margin, a large antenna array employing directional beamforming, which is ena ...

IEEE2019

Data-Retention-Time Characterization of Gain-Cell eDRAMs across the Design and Variations Space

Andreas Peter Burg, Andrea Bonetti

The rise of data-intensive applications has increased the demand for high-density and low-power embedded memories. Among them, the gain-cell embedded DRAM (GC-eDRAM) is a suitable alternative to the static random access memory (SRAM) due to its high memory ...

IEEE2019

A 24 kb Single-Well Mixed 3T Gain-Cell eDRAM with Body-Bias in 28 nm FD-SOI for Refresh-Free DSP Applications

Yusuf Leblebici, Andreas Peter Burg, Cosimo Aprile, Andrea Bonetti, Nicolas Claude Frigerio, Robert Giterman, Jonathan Emmanuel D Narinx

Logic-compatible gain-cell embedded DRAM (GC-eDRAM) is an emerging alternative to conventional SRAM for memory-dominated system-on-chip (SoC) designs due to its high-density, low-power, and two-ported operation. Although GCs have a limited data retention t ...

IEEE2019

FPGA-Based Emulation of Embedded DRAMs for Statistical Error Resilience Evaluation of Approximate Computing Systems

Andreas Peter Burg, Andrea Bonetti, Marco Widmer

Embedded DRAM (eDRAM) requires frequent power-hungry refresh according to the worst-case retention time across PVT variations to avoid data loss. Abandoning the error-free paradigm, by choosing sub-critical refresh rates that gracefully degrade the eDRAM c ...

ASSOC COMPUTING MACHINERY2019

Minimum Energy Point in Constant Frequency Designs under Adaptive Supply Voltage and Body Bias Adjustment in 55 nm DDC

David Ruffieux, Andreas Peter Burg

In this paper, we describe a systematic low-power design methodology for technologies that offer a strong body factor. Specifically, we explore both the body bias voltage and the supply voltage knobs in order to find the MEP (minimum energy point) for a co ...

IEEE2019

A 161mW 56Gb/s ADC-Based Discrete Multitone Wireline Receiver Data-Path in 14nm FinFET

Yusuf Leblebici, Alessandro Cevrero, Andreas Peter Burg, Gain Kim, Lukas Kull, Thomas Toifl, Cosimo Aprile, Ilter Ozkaya

IEEE2019

LoRa Symbol Error Rate Under Non-Aligned Interference

Andreas Peter Burg, Matthieu Cotting, Alexios Konstantinos Balatsoukas Stimming, Orion Afisiadis

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. To this end, we extend an existing interference model to the more realistic ...

IEEE2019

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