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A Scalable, Multi-Mode SVD Precoding ASIC Based on the Cyclic Jacobi Method

Authors:: Guenther, D. , Ascheid, G. , Leupers, R.
Journal:: (IEEE TCAS I)
Volume:: 63
Publisher:: IEEE
Page(s):: 1283 - 1294
number:: 8
Date:: Aug. 2016
DOI:: 10.1109/TCSI.2016.2561904
Language:: English
Abstract:: Modern wireless communication standards define new high throughput use cases like 8x8 multiple-input, multiple- output (MIMO) antenna setups and a 256-QAM constellation alphabet in the case of IEEE 802.11ac. Baseband precoding at the transmitter is a key technique to achieve the corresponding data rates at a reasonable signal-to-noise ratio (SNR). Multi- mode capability, (i.e., the ability to support multiple MIMO setups) is crucial for legacy compatibility or for the adapta- tion to the individual configurations of mobile stations. This paper presents an application-specific integrated circuit (ASIC) template for singular value decomposition (SVD) based linear precoding supporting multi-mode MIMO. A two-sided cyclic Jacobi algorithm is applied to decompose the SVD computation exclusively into 2x2 vector arithmetic units. A fixed computation pattern is executed iteratively on the input data. Iteration control allows a graceful trading of communication performance for a reduction of computational complexity. As a proof-of-concept, the architecture template is configured to support 2x2, 4x4, 6x6, and 8x8 MIMO and is layouted for 90 nm CMOS with a core area of 1.34 mm2 and a clock frequency of 752 MHz. The achieved throughput is 188, 15.7, 6.27, and 1.68 million SVDs per second, respectively.
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