DocumentCode
74376
Title
A Heterogeneous Reconfigurable Cell Array for MIMO Signal Processing
Author
Chenxin Zhang ; Liang Liu ; Markovic, Dejan ; Owall, Viktor
Author_Institution
Dept. of Electr. & Inf. Technol., Lund Univ., Lund, Sweden
Volume
62
Issue
3
fYear
2015
fDate
Mar-15
Firstpage
733
Lastpage
742
Abstract
This paper presents a heterogeneous reconfigurable cell array, designed for high-throughput baseband processing of multiple-input multiple-output (MIMO) systems. To achieve high performance and energy efficiency while retaining high flexibility, the proposed architecture adopts heterogeneous and hierarchical resource deployments. Additionally, extensive vector computation enhancements and flexible memory access schemes are employed to better support MIMO signal processing. Implemented in a 65 nm CMOS technology, the cell array occupies 8.88 mm2 core area and is capable of running at 500 MHz. For illustration, three computationally intensive blocks, namely channel estimation, channel matrix pre-processing, and hard-output data detection, of a 4 × 4 MIMO processing chain in a 20 MHz 64-QAM 3GPP long term evolution advanced (LTE-A) downlink are mapped and processed in real-time. Implementation results report a maximum throughput of 367.88 Mb/s with 1.49 nJ/b energy consumption. Compared to state-of-the-art designs, the proposed solution outperforms programmable platforms by several orders of magnitude in energy efficiency, and achieves similar level of efficiency to that of ASICs.
Keywords
CMOS integrated circuits; Long Term Evolution; MIMO communication; cellular arrays; channel estimation; matrix algebra; quadrature amplitude modulation; signal processing; 3GPP; CMOS technology; LTE-A; Long Term Evolution-Advanced; MIMO signal processing; QAM; channel estimation; channel matrix preprocessing; complementary metal oxide semiconductor technology; energy consumption; energy efficiency; frequency 20 MHz; frequency 500 MHz; hard-output data detection; heterogeneous reconfigurable cell array; high-throughput baseband processing; memory access scheme; multiple-input multiple-output system; size 65 nm; Arrays; Hardware; MIMO; Microprocessors; Signal processing algorithms; Vectors; Channel estimation; QR decomposition (QRD); data detection; multiple-input multiple-output (MIMO); pre-processing; reconfigurable architecture; vector processor;
fLanguage
English
Journal_Title
Circuits and Systems I: Regular Papers, IEEE Transactions on
Publisher
ieee
ISSN
1549-8328
Type
jour
DOI
10.1109/TCSI.2014.2366812
Filename
6973046
Link To Document