Publications de Christoph Studer

Publications associées (20)

VLSI implementation of the list sphere algorithm

Andreas Peter Burg, Matthieu Philippe Emmanuel Zellweger, Christoph Studer

Sphere decoding (SD) is widely considered as one of the most promising detection schemes for multiple-input multiple-output (MIMO) communication systems. The recently proposed list sphere-decoding (LSD) algorithm is an extension of the original SD algorith ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2006

Layered Detection and Decoding in MIMO Wireless Systems

Andreas Peter Burg, Christoph Studer, Nicholas Alexander Preyss

Iterative detection and decoding (IDD) in multiple-input multiple-output (MIMO) wireless systems is known to achieve near channel capacity. The high computational complexity of IDD, however, poses signiﬁcant challenges for practical implementations (in ter ...

IEEE2012

Neural-Network Optimized 1-bit Precoding for Massive MU-MIMO

Alexios Konstantinos Balatsoukas Stimming, Christoph Studer

Base station (BS) architectures for massive multi-user (MU) multiple-input multiple-output (MIMO) wireless systems are equipped with hundreds of antennas to serve tens of users on the same time-frequency channel. The immense number of BS antennas incurs hi ...

IEEE2019

A 15.8 pJ/bit/iter quasi-cyclic LDPC decoder for IEEE 802.11n in 90 nm CMOS

Andreas Peter Burg, Christoph Studer, Pascal Andreas Meinerzhagen

We present a low-power quasi-cyclic (QC) low density parity check (LDPC) decoder that meets the throughput requirements of the highest-rate (600 Mbps) modes of the IEEE 802.11n WLAN standard. The design is based on the layered offset-min-sum algorithm and ...

IEEE2010

Soft-output sphere decoding: Algorithms and VLSI implementation

Andreas Peter Burg, Christoph Studer

Multiple-input multiple-output (MIMO) detection algorithms providing soft information for a subsequent channel decoder pose significant implementation challenges due to their high computational complexity. In this paper, we show how sphere decoding can be ...

2008

Data Mapping for Unreliable Memories

Andreas Peter Burg, Christoph Studer, Georgios Karakonstantis

Future digital signal processing (DSP) systems must provide robustness on algorithm and application level to the presence of reliability issues that come along with corresponding implementations in modern semiconductor process technologies. In this paper, ...

2012

Soft-output sphere decoding: Performanceand implementation aspects

Andreas Peter Burg, Christoph Studer

Multiple-input multiple-output (MIMO) detection algorithms providing soft information for a subsequent channel decoder pose significant implementation challenges due to their high computational complexity. In this paper, we show how sphere decoding can be ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2006

Deep Unfolding for Communications Systems: A Survey and Some New Directions

Alexios Konstantinos 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 learning, signal and image processing, and communication systems. This survey sum ...

IEEE2019

Artificial Intelligence for 5G and Beyond 5G: Implementations, Algorithms, and Optimizations

Andreas Peter Burg, Christoph Studer

This Special Issue of the IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS) is dedicated to demonstrating the latest research progress on artificial intelligence for 5G and beyond 5G (B5G) with respect to implementations, algori ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Advanced receiver algorithms for MIMO wireless communications

Andreas Peter Burg, Christoph Studer

We describe the VLSI implementation of MIMO detectors that exhibit close-to optimum error-rate performance, but still achieve high throughput at low silicon area. In particular algorithms and VLSI architectures for sphere decoding (SD) and K-best detection ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2006

VLSI Implementation of a Low-Complexity LLL Lattice Reduction Algorithm for MIMO Detection

Andreas Peter Burg, Christoph Studer

Lattice-reduction (LR)-aided successive interference cancellation (SIC) is able to achieve close-to optimum error-rate performance for data detection in multiple-input multiple-output (MIMO) wireless communication systems. In this work, we propose a hardwa ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Configurable High-Throughput Decoder Architecture for Quasi-Cyclic LDPC Codes

Andreas Peter Burg, Christoph Studer, Nicholas Alexander Preyss

We describe a fully reconfigurable low-density parity check (LDPC) decoder for quasi-cyclic (QC) codes. The proposed hardware architecture is able to decode virtually any QC-LDPC code that fits into the allocated memories while achieving high decoding thro ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2008

Superlinear Physical Performances in a SWARM-BOT

Dario Floreano, Francesco Mondada, Michael Bonani, Stéphane Magnenat, Christoph Studer, André Guignard

A swarm-bot is a robotic entity built of several autonomous mobile robots (called s-bots) physically connected together. This form of collective robotics exploits robot interactions both at the behavioral and physical levels. The goal of this paper is to a ...

2005

Christoph Studer

Graph Chatbot

VLSI implementation of the list sphere algorithm

Layered Detection and Decoding in MIMO Wireless Systems

Neural-Network Optimized 1-bit Precoding for Massive MU-MIMO

A 15.8 pJ/bit/iter quasi-cyclic LDPC decoder for IEEE 802.11n in 90 nm CMOS

Soft-output sphere decoding: Algorithms and VLSI implementation

Data Mapping for Unreliable Memories

Soft-output sphere decoding: Performanceand implementation aspects

Deep Unfolding for Communications Systems: A Survey and Some New Directions

Artificial Intelligence for 5G and Beyond 5G: Implementations, Algorithms, and Optimizations

Advanced receiver algorithms for MIMO wireless communications

VLSI Implementation of a Low-Complexity LLL Lattice Reduction Algorithm for MIMO Detection

Configurable High-Throughput Decoder Architecture for Quasi-Cyclic LDPC Codes

Superlinear Physical Performances in a SWARM-BOT

MIMO transmission with residual transmit-RF impairments

VLSI Design of Approximate Message Passing for Signal Restoration and Compressive Sensing

System-level implications of residual transmit-RF impairments in MIMO systems

A unification of ML-optimal tree-search decoders

Area, throughput, and energy-efficiency trade-offs in the VLSI implementation of LDPC decoders

Area- and throughput-optimized VLSI architecture of sphere decoding

The effect of unreliable LLR storage on the performance of MIMO-BICM