Power Efficient Signal Processing for mmWave 5G Systems

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, s...

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Bibliographic Details
Published in:Journal of signal processing systems 2016-05, Vol.83 (2), p.177-190
Main Authors: Rajagopal, Sridhar, Abu-Surra, Shadi, Zhang, Jianzhong Charlie, Khan, Farooq
Format: Article
Language:English
Subjects:
Algorithms
Architecture
Bandwidth
Circuits and Systems
Computer Imaging
Data transmission
Dynamical systems
Dynamics
Electrical Engineering
Engineering
Image Processing and Computer Vision
Pattern Recognition
Pattern Recognition and Graphics
Power consumption
Signal processing
Signal,Image and Speech Processing
Vision
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Summary: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, peak-to-average power ratio reduction, bandwidth adaptation for control and data transmissions and low power channel decoding.
ISSN:1939-8018
1939-8115
DOI:10.1007/s11265-015-1074-5