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dc.contributor.authorWu, M.
Yin, B.
Vosoughi, A.
Studer, C.
Cavallaro, Joseph R.
Dick, C.
dc.date.accessioned 2013-10-25T21:20:15Z
dc.date.available 2013-10-25T21:20:15Z
dc.date.issued 2013-05
dc.identifier.citation M. Wu, B. Yin, A. Vosoughi, C. Studer, J. R. Cavallaro and C. Dick, "Approximate Matrix Inversion for High-Throughput Data Detection in Large-Scale MIMO Uplink," 2013.
dc.identifier.urihttps://hdl.handle.net/1911/75011
dc.description.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 1.9Mmatrices/s on a Xilinx Virtex-7 FPGA, while using only 3.9% of the available slices and 3.6% of the available DSP48 units.
dc.description.sponsorship Renesas Mobile
dc.description.sponsorship Texas Instruments
dc.description.sponsorship Xilinx
dc.description.sponsorship Samsung
dc.description.sponsorship US NSF grant ECCS-1232274
dc.description.sponsorship US NSF grant EECS-0925942
dc.description.sponsorship US NSF grant CNS-0923479
dc.language.iso eng
dc.publisher IEEE
dc.title Approximate Matrix Inversion for High-Throughput Data Detection in Large-Scale MIMO Uplink
dc.type Conference paper
dc.citation.location Beijing, China
dc.citation.conferenceDate IEEE International Symposium on Circuits and Systems (ISCAS), 2013
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1109/ISCAS.2013.6572301
dc.citation.firstpage 2155
dc.citation.lastpage 2158


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  • ECE Publications [1450]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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