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dc.contributor.authorWu, Michael
Dick, Chris
Cavallaro, Joseph R. 2012-06-29T17:06:11Z 2012-06-29T17:06:11Z 2011-12-01
dc.description.abstract This paper proposes a novel scalable Multiple-Input Multiple-Output (MIMO) detector that does not require preprocessing to achieve good bit error rate (BER) performance. MIMO processing is a key technology in broadband wireless technologies such as 3G LTE, WiMAX, and 802.11n. Existing detectors such as Flexsphere use preprocessing before MIMO detection to improve performance. Instead of costly preprocessing, the proposed detector schedules multiple search passes, where each search pass detects the transmit stream with a different permuted detection order. By changing the number of parallel search passes, we show that this scalable detector can achieve comparable performance to Flexsphere with reduced resource requirement, or can eliminate LLR clipping and achieve BER performance within 0.25 dB of exhaustive search with increased resource requirement.
dc.language.iso eng
dc.publisher Wireless Innovation Forum
dc.subject3G LTE
MIMO detection
BER performance
dc.title Improving MIMO Sphere Detection Through Antenna Detection Order Scheduling
dc.type Conference paper Center for Multimedia Communication
dc.citation.location Washington, DC
dc.citation.conferenceName Software Defined Radio Forum 2011 (SDR-WInnComm)
dc.citation.conferenceDate 2011
dc.type.dcmi Text
dc.type.dcmi Text
dc.citation.firstpage 280
dc.citation.lastpage 284
dc.identifier.citation M. Wu, C. Dick and J. R. Cavallaro, "Improving MIMO Sphere Detection Through Antenna Detection Order Scheduling," 2011.

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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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