VLSI Design of Large-Scale Soft-Output MIMO Detection Using Conjugate Gradients
Open access
Date
2015Type
- Conference Paper
ETH Bibliography
no
Altmetrics
Abstract
We propose an FPGA design for soft-output data detection in orthogonal frequency-division multiplexing (OFDM)-based large-scale (multi-user) MIMO systems. To reduce the high computational complexity of data detection, our design uses a modified version of the conjugate gradient least square (CGLS) algorithm. In contrast to existing linear detection algorithms for massive MIMO systems, our method avoids two of the most complex tasks, namely Gram-matrix computation and matrix inversion, while still being able to compute soft-outputs. Our architecture uses an array of reconfigurable processing elements to compute the CGLS algorithm in a hardware-efficient manner. Implementation results on Xilinx Virtex-7 FPGA for a 128 antenna, 8 user large-scale MIMO system show that our design only uses 70% of the area-delay product of the competitive method, while exhibiting superior error-rate performance. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000455362Publication status
publishedExternal links
Book title
2015 IEEE International Symposium on Circuits and Systems (ISCAS)Pages / Article No.
Publisher
IEEEEvent
Organisational unit
09695 - Studer, Christoph / Studer, Christoph
More
Show all metadata
ETH Bibliography
no
Altmetrics