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Energy Efficient Gr...
Energy Efficient Group-Sort QRD Processor with On-line Update for MIMO Channel Pre-processing
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- Zhang, Chenxin (författare)
- Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH
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- Prabhu, Hemanth (författare)
- Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH
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- Liu, Yangxurui (författare)
- Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH
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- Liu, Liang (författare)
- Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH
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- Edfors, Ove (författare)
- Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH
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- Öwall, Viktor (författare)
- Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH
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(creator_code:org_t)
- 2015
- 2015
- Engelska.
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Ingår i: IEEE Transactions on Circuits and Systems Part 1: Regular Papers. - 1549-8328. ; 62:5, s. 1220-1229
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http://dx.doi.org/10...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- This paper presents a Sorted QR-Decomposition (SQRD) processor for 3GPP LTE-A system. It achieves energy efficiency by co-optimizing techniques, such as heterogeneous processing, reconfigurable architecture, and dual-supply voltage operation. At algorithm level, a low-complexity hybrid decomposition scheme is adopted, which switches, depending on the energy distribution of spatial channels, between the traditional brute-force SQRD and a proposed group-sort QR update strategy. A reconfigurable vector processor is accordingly developed to support the adaptive processing with high hardware efficiency. Furthermore, on-chip power management technique is also integrated to obtain real-time power-saving by adapting the voltage supply based on the instantaneous workload. As a proof-of-concept, we implemented the processor using a 65nm CMOS technology and conducted post-layout simulation. The proposed SQRD processor occupies 0.71mm2 core area and has a throughput of up to 69MQRD/s. Compared to the brute-force approach, an energy reduction of 10~61.8% is achieved.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Nyckelord
- QR decomposition
- sorting
- channel preprocessing
- MIMO
- reconfigurable processor
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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