Abstract
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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Schlecker, W., Engelhart, A., Teich, W.G., Pfieiderer, HJ. (2002). Hardware Implementation of a Multiuser Detection Scheme Based on Recurrent Neural Networks. In: Glesner, M., Zipf, P., Renovell, M. (eds) Field-Programmable Logic and Applications: Reconfigurable Computing Is Going Mainstream. FPL 2002. Lecture Notes in Computer Science, vol 2438. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46117-5_116
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DOI: https://doi.org/10.1007/3-540-46117-5_116
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