A best-first soft/hard decision tree searching MIMO decoder for a 4 × 4 64-QAM system

Handle URI:
http://hdl.handle.net/10754/562259
Title:
A best-first soft/hard decision tree searching MIMO decoder for a 4 × 4 64-QAM system
Authors:
Shen, Chungan; Eltawil, Ahmed M.; Salama, Khaled N. ( 0000-0001-7742-1282 ) ; Mondal, Sudip
Abstract:
This paper presents the algorithm and VLSI architecture of a configurable tree-searching approach that combines the features of classical depth-first and breadth-first methods. Based on this approach, techniques to reduce complexity while providing both hard and soft outputs decoding are presented. Furthermore, a single programmable parameter allows the user to tradeoff throughput versus BER performance. The proposed multiple-input-multiple-output decoder supports a 4 × 4 64-QAM system and was synthesized with 65-nm CMOS technology at 333 MHz clock frequency. For the hard output scheme the design can achieve an average throughput of 257.8 Mbps at 24 dB signal-to-noise ratio (SNR) with area equivalent to 54.2 Kgates and a power consumption of 7.26 mW. For the soft output scheme it achieves an average throughput of 83.3 Mbps across the SNR range of interest with an area equivalent to 64 Kgates and a power consumption of 11.5 mW. © 2011 IEEE.
KAUST Department:
Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Sensors Lab
Publisher:
Institute of Electrical and Electronics Engineers
Journal:
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Issue Date:
Aug-2012
DOI:
10.1109/TVLSI.2011.2159821
Type:
Article
ISSN:
10638210
Sponsors:
Manuscript received September 17, 2010; revised January 13, 2011 and April 14, 2011; accepted May 22, 2011. Date of publication July 18, 2011; date of current version June 14, 2012. This work was supported in part by the Department of Justice, National Institute of Justice DOJ/NIJ under grant 2006-IJ-CX-K044.
Appears in Collections:
Articles; Electrical Engineering Program; Sensors Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorShen, Chunganen
dc.contributor.authorEltawil, Ahmed M.en
dc.contributor.authorSalama, Khaled N.en
dc.contributor.authorMondal, Sudipen
dc.date.accessioned2015-08-03T09:58:22Zen
dc.date.available2015-08-03T09:58:22Zen
dc.date.issued2012-08en
dc.identifier.issn10638210en
dc.identifier.doi10.1109/TVLSI.2011.2159821en
dc.identifier.urihttp://hdl.handle.net/10754/562259en
dc.description.abstractThis paper presents the algorithm and VLSI architecture of a configurable tree-searching approach that combines the features of classical depth-first and breadth-first methods. Based on this approach, techniques to reduce complexity while providing both hard and soft outputs decoding are presented. Furthermore, a single programmable parameter allows the user to tradeoff throughput versus BER performance. The proposed multiple-input-multiple-output decoder supports a 4 × 4 64-QAM system and was synthesized with 65-nm CMOS technology at 333 MHz clock frequency. For the hard output scheme the design can achieve an average throughput of 257.8 Mbps at 24 dB signal-to-noise ratio (SNR) with area equivalent to 54.2 Kgates and a power consumption of 7.26 mW. For the soft output scheme it achieves an average throughput of 83.3 Mbps across the SNR range of interest with an area equivalent to 64 Kgates and a power consumption of 11.5 mW. © 2011 IEEE.en
dc.description.sponsorshipManuscript received September 17, 2010; revised January 13, 2011 and April 14, 2011; accepted May 22, 2011. Date of publication July 18, 2011; date of current version June 14, 2012. This work was supported in part by the Department of Justice, National Institute of Justice DOJ/NIJ under grant 2006-IJ-CX-K044.en
dc.publisherInstitute of Electrical and Electronics Engineersen
dc.subjectMultiple-input multiple-output (MIMO)en
dc.subjectsphere decodingen
dc.subjecttree searchen
dc.titleA best-first soft/hard decision tree searching MIMO decoder for a 4 × 4 64-QAM systemen
dc.typeArticleen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentSensors Laben
dc.identifier.journalIEEE Transactions on Very Large Scale Integration (VLSI) Systemsen
dc.contributor.institutionCenter for Pervasive Communications and Computing (CPCC), Electrical Engineering and Computer Science Department, University of California at Irvine, Irvine, CA 92697, United Statesen
dc.contributor.institutionKing Saud University, Riyadh, Saudi Arabiaen
dc.contributor.institutionCypress Semiconductors, San Jose, CA 95134, United Statesen
kaust.authorSalama, Khaled N.en
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