Hardware implementation of a multiuser detection scheme based on recurrent neural networks

被引:0
作者
Schlecker, W [1 ]
Engelhart, A
Teich, WG
Pfleiderer, HJ
机构
[1] Univ Ulm, Microelect Dept, Ulm, Germany
[2] Univ Ulm, Dept Informat Technol, Ulm, Germany
来源
FIELD-PROGRAMMABLE LOGIC AND APPLICATIONS, PROCEEDINGS: RECONFIGURABLE COMPUTING IS GOING MAINSTREAM | 2002年 / 2438卷
关键词
D O I
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中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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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页码:1097 / 1100
页数:4
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