Hardware Implementation of a Multiuser Detection Scheme Based on Recurrent Neural Networks

In this paper we describe the hardware (HW) implementation of a discrete-time channel matrix computation and a multiuser detection (MUD) scheme.We propose a MUD scheme based on recurrent neural networks (RNN) for the TDD mode of UMTS Terrestrial Radio Access. This algorithm achieves a performance wh...

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Hauptverfasser: Schlecker, Wolfgang, Engelhart, Achim, Teich, Werner G., Pfieiderer, Hans-Jörg
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Engelhart, Achim
Teich, Werner G.
Pfieiderer, Hans-Jörg
description In this paper we describe the hardware (HW) implementation of a discrete-time channel matrix computation and a multiuser detection (MUD) scheme.We propose a MUD scheme based on recurrent neural networks (RNN) for the TDD mode of UMTS Terrestrial Radio Access. This algorithm achieves a performance which is close to the optimum MUD, while keeping the computational complexity low. To reach the high real-time data throughput we implemented the algorithm with parallel multipliers on a field programmable gate array (FPGA).
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ispartof Field-Programmable Logic and Applications: Reconfigurable Computing Is Going Mainstream, 2002, Vol.2438, p.1097-1100
issn 0302-9743
language eng
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source Springer Books
subjects Applied sciences
Artificial intelligence
Channel Matrix
Code Division Multiple Access
Computer science
control theory
systems
Connectionism. Neural networks
Exact sciences and technology
Field Programmable Gate Array
Hardware Implementation
Radiocommunications
Recurrent Neural Network
Telecommunications
Telecommunications and information theory
title Hardware Implementation of a Multiuser Detection Scheme Based on Recurrent Neural Networks
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