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10.1109/ISVLSI.2006.59guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Low Power Layered Space-Time Channel Detector Architecture for MIMO Systems

Published: 02 March 2006 Publication History

Abstract

This paper presents the low power implementation of a Maximum Likelihood (ML) based detector used in the receiver part of a Multiple Input and Multiple Output (MIMO) systems. Low power is mainly achieved through complexity reduction of the ML detector. In particular, Manhattan metric approach is proposed for removing the need for the use of multipliers in the architecture, leading to significant complexity reduction in the ML detector implementation with only 0.7 dB loss in the Bit Error Rate (BER) performance. Results are presented showing that our ML detector achieves 29% saving in area and 34.4% saving in power consumption compared to conventional implementations.

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  • (2014)Turbocharging ambient backscatter communicationACM SIGCOMM Computer Communication Review10.1145/2740070.262631244:4(619-630)Online publication date: 17-Aug-2014
  • (2014)Turbocharging ambient backscatter communicationProceedings of the 2014 ACM conference on SIGCOMM10.1145/2619239.2626312(619-630)Online publication date: 17-Aug-2014

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  1. Low Power Layered Space-Time Channel Detector Architecture for MIMO Systems

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        cover image Guide Proceedings
        ISVLSI '06: Proceedings of the IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures
        March 2006
        ISBN:0769525334

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        IEEE Computer Society

        United States

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        Published: 02 March 2006

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        • (2014)Turbocharging ambient backscatter communicationACM SIGCOMM Computer Communication Review10.1145/2740070.262631244:4(619-630)Online publication date: 17-Aug-2014
        • (2014)Turbocharging ambient backscatter communicationProceedings of the 2014 ACM conference on SIGCOMM10.1145/2619239.2626312(619-630)Online publication date: 17-Aug-2014

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