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Title of Journal: J Sign Process Syst

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Abbravation: Journal of Signal Processing Systems

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Springer US

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DOI

10.1007/s11908-012-0277-1

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ISSN

1939-8115

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Power Efficient Signal Processing for mmWave 5G Sy

Authors: Sridhar Rajagopal Shadi AbuSurra Jianzhong Charlie Zhang Farooq Khan
Publish Date: 2015/11/18
Volume: 83, Issue: 2, Pages: 177-190
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Abstract

mmWave frequencies being considered for 5G systems have the potential to provide Gb/s data rates utilizing large bandwidth GHz of available spectrum However the use of mmWave frequencies comes at the cost of increased power consumption due to the use of large antenna arrays with beamforming sampling signals with GHz of bandwidth and baseband signal processing operations at Gb/s data rates In this article we explore the power consumption issue for mmWave 5G systems and propose power efficient signal processing architectures and algorithms in order to help mitigate power consumption at both the transmitter and the receiver Two power efficient signal processing architectures are proposed that efficiently channelize the large bandwidth for low power Signal processing algorithms are finally presented that investigate low power operation in the system by providing dynamic beamwidth support peaktoaverage power ratio reduction bandwidth adaptation for control and data transmissions and low power channel decoding


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  2. Tracking Forecast Memories for Stochastic Decoding
  3. Exploration of Soft-Output MIMO Detector Implementations on Massive Parallel Processors
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  15. Area Efficient Sequential Decimal Fixed-point Multiplier
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  17. Power-Efficient State Exchange Scheme for Low-Latency SMU Design of Viterbi Decoder
  18. Traceback-Based Optimizations for Maximum a Posteriori Decoding Algorithms
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