DocumentCode
642686
Title
A high-speed QR decomposition processor for carrier-aggregated LTE-A downlink systems
Author
Gangarajaiah, Rakesh ; Liang Liu ; Stala, Michal ; Nilsson, Per-Ake ; Edfors, Ove
Author_Institution
Dept. of Electr. & Inf. Technol., Lund Univ., Lund, Sweden
fYear
2013
fDate
8-12 Sept. 2013
Firstpage
1
Lastpage
4
Abstract
This paper presents a high-speed QR decomposition (QRD) processor targeting the carrier-aggregated 4×4 Long Term Evolution-Advanced (LTE-A) receiver. The processor provides robustness in spatially correlated channels with reduced complexity by using modifications to the Householder transform, such as decomposing-target redefinition and matrix real-valued decomposition. In terms of hardware design, we extensively explore flexibilities in systolic architectures using a high-level synthesis tool to achieve area-power efficiency. In a 65nm CMOS technology, the processor occupies a core area of 0.77mm2 and produces 72MQRD per second, the highest reported throughput. The power consumed in the proposed processor is 127 mW.
Keywords
CMOS integrated circuits; Long Term Evolution; radio receivers; telecommunication channels; transforms; CMOS technology; LTE-A receiver; Long Term Evolution-Advanced receiver; MQRD; QRD processor; area-power efficiency; carrier-aggregated LTE-A downlink systems; decomposing-target redefinition; hardware design; high-level synthesis tool; high-speed QR decomposition processor; householder transform; matrix real-valued decomposition; power 127 mW; spatially correlated channels; systolic architectures; Complexity theory; Hardware; MIMO; Matrix decomposition; Throughput; Transforms; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuit Theory and Design (ECCTD), 2013 European Conference on
Conference_Location
Dresden
Type
conf
DOI
10.1109/ECCTD.2013.6662237
Filename
6662237
Link To Document