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dc.contributor.authorDick, Chris
Amiri, Kiarash
Cavallaro, Joseph R.
Rao, Raghu
dc.date.accessioned 2012-06-06T16:26:16Z
dc.date.available 2012-06-06T16:26:16Z
dc.date.issued 2008-10-01
dc.identifier.citation C. Dick, K. Amiri, J. R. Cavallaro and R. Rao, "Design and Architecture of Spatial Multiplexing MIMO Decoders for FPGAs," 2008.
dc.identifier.otherhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5074383
dc.identifier.other 10.1109/ACSSC.2008.5074383
dc.identifier.urihttps://hdl.handle.net/1911/64227
dc.description.abstract Spatial multiplexing multiple-input-multiple-output (MIMO) communication systems have recently drawn significant attention as a means to achieve tremendous gains in wireless system capacity and link reliability. The optimal hard decision detection for MIMO wireless systems is the maximum likelihood (ML) detector. ML detection is attractive due to its superior performance (in terms of BER). However, direct implementation grows exponentially with the number of antennas and the modulation scheme, making its ASIC or FPGA implementation infeasible for all but low-density modulation schemes using a small number of antennas. Sphere decoding (SD) solves the ML detection problem in a computationally efficient manner. However, even with this complexity reduction, real-time implementation on a DSP processor is generally not feasible and high-performance parallel computing platforms such as FPGAs are increasingly being employed for this class of applications. The sphere detection problem affords many opportunities for algorithm and micro-architecture optimizations and tradeoffs. This paper provides an overview of techniques to simplify and minimize FPGA resource utilization of sphere detectors for high performance low-latency systems.
dc.language.iso eng
dc.publisher IEEE
dc.subjectMIMO
Wireless systems
Sphere decoding (SD)
FPGA
dc.title Design and Architecture of Spatial Multiplexing MIMO Decoders for FPGAs
dc.type Conference paper
dc.contributor.org Center for Multimedia Communication
dc.citation.location Pacific Grove, CA
dc.citation.conferenceName 42nd Asilomar Conference on Signals, Systems and Computers
dc.citation.conferenceDate 2008
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1109/ACSSC.2008.5074383
dc.citation.firstpage 160
dc.citation.lastpage 164


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  • CMC Publications [268]
    Publications by Rice Faculty and graduate students in multimedia communications
  • ECE Publications [1289]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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