Approximate Matrix Inversion for High-Throughput Data Detection in the Large-Scale MIMO Uplink
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Datum
2013Typ
- Conference Paper
ETH Bibliographie
no
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Abstract
The high processing complexity of data detection in the large-scale multiple-input multiple-output (MIMO) uplink necessitates high-throughput VLSI implementations. In this paper, we propose - to the best of our knowledge - first matrix inversion implementation suitable for data detection in systems having hundreds of antennas at the base station (BS). The underlying idea is to carry out an approximate matrix inversion using a small number of Neumann-series terms, which allows one to achieve near-optimal performance at low complexity. We propose a novel VLSI architecture to efficiently compute the approximate inverse using a systolic array and show reference FPGA implementation results for various system configurations. For a system where 128 BS antennas receive data from 8 single-antenna users, a single instance of our design processes 1.9M matrices/s on a Xilinx Virtex-7 FPGA, while using only 3.9% of the available slices and 3.6% of the available DSP48 units. Mehr anzeigen
Persistenter Link
https://doi.org/10.3929/ethz-b-000455271Publikationsstatus
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Buchtitel
2013 IEEE International Symposium on Circuits and Systems (ISCAS)Seiten / Artikelnummer
Verlag
IEEEKonferenz
Organisationseinheit
09695 - Studer, Christoph / Studer, Christoph
ETH Bibliographie
no
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