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dc.contributor.authorShen, Chungan
dc.contributor.authorEltawil, Ahmed M.
dc.contributor.authorSalama, Khaled N.
dc.contributor.authorMondal, Sudip
dc.date.accessioned2015-08-03T09:58:22Z
dc.date.available2015-08-03T09:58:22Z
dc.date.issued2012-08
dc.identifier.issn10638210
dc.identifier.doi10.1109/TVLSI.2011.2159821
dc.identifier.urihttp://hdl.handle.net/10754/562259
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.
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.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectMultiple-input multiple-output (MIMO)
dc.subjectsphere decoding
dc.subjecttree search
dc.titleA best-first soft/hard decision tree searching MIMO decoder for a 4 × 4 64-QAM system
dc.typeArticle
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentSensors Lab
dc.identifier.journalIEEE Transactions on Very Large Scale Integration (VLSI) Systems
dc.contributor.institutionCenter for Pervasive Communications and Computing (CPCC), Electrical Engineering and Computer Science Department, University of California at Irvine, Irvine, CA 92697, United States
dc.contributor.institutionKing Saud University, Riyadh, Saudi Arabia
dc.contributor.institutionCypress Semiconductors, San Jose, CA 95134, United States
kaust.personSalama, Khaled N.


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