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

Related publications (30)

About
Privacy
Disclaimer

Graph Chatbot

Network coded multipath and related techniques

Emre Telatar, Arno Schneuwly, Derya Malak

Techniques are disclosed for adaptive coding and scheduling of packets in wireless networks. The adaptive coding and scheduling can be achieved by utilizing a discrete water filling (DWF) scheme. In an example, a computer-implemented method to adaptively c ...

2020

Straight to the Point: Intra- and Intercluster LUT Connections to Mitigate the Delay of Programmable Routing

Paolo Ienne, Grace Zgheib, Stefan Nikolic

Technology scaling makes metal delay ever more problematic, but routing between Look-Up Tables (LUTs) still passes through a series of transistors. It seems wise to avoid the corresponding delay whenever possible. Direct connections between LUTs, both with ...

ASSOC COMPUTING MACHINERY2020

Design and Decoding of Irregular LDPC Codes Based on Discrete Message Passing

Andreas Peter Burg

We consider discrete message passing (MP) decoding of low-density parity check (LDPC) codes based on information-optimal symmetric look-up table (LUT). A link between discrete message labels and the associated log-likelihood ratio values (defined in terms ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Negative Capacitance as Universal Digital and Analog Performance Booster for Complementary MOS Transistors

Mihai Adrian Ionescu, Christian Enz, Igor Stolichnov, Farzan Jazaeri, Ali Saeidi

Boltzmann electron energy distribution poses a fundamental limit to lowering the energy dissipation of conventional MOS devices, a minimum increase of the gate voltage, i.e. 60 mV, is required for a 10-fold increase in drain-to-source current at 300 K. Neg ...

Nature Research2019

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

ReRAM From Material Study to CMOS Co-integration

Elmira Shahrabi

The revolution of information-technology owes to silicon-based complementary-metal-oxide (CMOS) technology. However, CMOS technology approaches its physical limitation hardening the further progress of memory devices as well as computing paradigm requiring ...

EPFL2019

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

From LDPC Block to LDPC Convolutional Codes: Capacity, Stability, and Universality

Wei Liu

In his landmark paper "A Mathematical Theory of Communication," the founding father of information theory and coding theory, Claude E. Shannon, established the largest rate at which reliable communication is possible and he revealed that the key to this re ...

EPFL2019

Exploration of Negative Capacitance Devices and Technologies

Ali Saeidi

Conventional device scaling has been the main guiding principle of the MOS device engineering over these past years. However, this aggressive scaling would be eventually limited due to the inability to remove the heat generated by MOSFET devices. The power ...

EPFL2019

Fast Low-Complexity Decoders for Low-Rate Polar Codes

Alexios Konstantinos Balatsoukas Stimming, Pascal Giard

Polar codes are capacity-achieving error-correcting codes with an explicit construction that can be decoded with low-complexity algorithms. In this work, we show how the state-of-the-art low-complexity decoding algorithm can be improved to better accommoda ...

2018

Page 2 of 3