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Low-power signal processing techniques and architectures

Non-Linear Digital Self-Interference Cancellation for In-Band Full-Duplex Radios Using Neural Networks


Full-duplex systems require very strong self-interference cancellation in order to operate correctly and a significant part of the self-interference signal is due to non-linear effects created by various transceiver impairments. As such, linear cancellation alone is usually not sufficient and sophisticated non-linear cancellation algorithms have been proposed in the literature. In this work, we investigate the use of a neural network as an alternative to the traditional non-linear cancellation method that is based on polynomial basis functions.

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21 June 2018 - 7:51am
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18SPAWCPoster.pdf

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[1] , "Non-Linear Digital Self-Interference Cancellation for In-Band Full-Duplex Radios Using Neural Networks", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3283. Accessed: Sep. 22, 2018.
@article{3283-18,
url = {http://sigport.org/3283},
author = { },
publisher = {IEEE SigPort},
title = {Non-Linear Digital Self-Interference Cancellation for In-Band Full-Duplex Radios Using Neural Networks},
year = {2018} }
TY - EJOUR
T1 - Non-Linear Digital Self-Interference Cancellation for In-Band Full-Duplex Radios Using Neural Networks
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3283
ER -
. (2018). Non-Linear Digital Self-Interference Cancellation for In-Band Full-Duplex Radios Using Neural Networks. IEEE SigPort. http://sigport.org/3283
, 2018. Non-Linear Digital Self-Interference Cancellation for In-Band Full-Duplex Radios Using Neural Networks. Available at: http://sigport.org/3283.
. (2018). "Non-Linear Digital Self-Interference Cancellation for In-Band Full-Duplex Radios Using Neural Networks." Web.
1. . Non-Linear Digital Self-Interference Cancellation for In-Band Full-Duplex Radios Using Neural Networks [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3283

DATA-AIDED FAST BEAMFORMING SELECTION FOR 5G


Millimeter wave frequencies paired up with MIMO antennas
employing beamforming are seen as critical enablers of next gen-
eration networks. However, selecting the most beneficial beamform-
ing weights in a codebook-enabled downlink transmitter is a lengthy
task, as the existing methods rely on some form of channel mea-
surement. In fact, if the used codebook is too large, the traditional
methods might fail to select an appropriate entry within the channel
coherence time.
In this paper, a new method to assist the beam selection is pro-

poster.pdf

PDF icon Poster (50 downloads)

Paper Details

Authors:
Gabriel Falcao, Leonel Sousa
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13 April 2018 - 5:25am
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Poster

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[1] Gabriel Falcao, Leonel Sousa, "DATA-AIDED FAST BEAMFORMING SELECTION FOR 5G", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2668. Accessed: Sep. 22, 2018.
@article{2668-18,
url = {http://sigport.org/2668},
author = {Gabriel Falcao; Leonel Sousa },
publisher = {IEEE SigPort},
title = {DATA-AIDED FAST BEAMFORMING SELECTION FOR 5G},
year = {2018} }
TY - EJOUR
T1 - DATA-AIDED FAST BEAMFORMING SELECTION FOR 5G
AU - Gabriel Falcao; Leonel Sousa
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2668
ER -
Gabriel Falcao, Leonel Sousa. (2018). DATA-AIDED FAST BEAMFORMING SELECTION FOR 5G. IEEE SigPort. http://sigport.org/2668
Gabriel Falcao, Leonel Sousa, 2018. DATA-AIDED FAST BEAMFORMING SELECTION FOR 5G. Available at: http://sigport.org/2668.
Gabriel Falcao, Leonel Sousa. (2018). "DATA-AIDED FAST BEAMFORMING SELECTION FOR 5G." Web.
1. Gabriel Falcao, Leonel Sousa. DATA-AIDED FAST BEAMFORMING SELECTION FOR 5G [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2668

LOW COMPLEXITY IMAGE FUSION IN BAYER DOMAIN USING A MONOCHROME SENSOR AND BAYER SENSOR


Mobile cameras have come a long way since their evolution and have replaced digital still cameras. However, their lowlight photography performance needs significant improvement. Dual camera systems consisting of a monochrome sensor and a Bayer sensor offer us a way to improve the low-light photography. The existing dual camera systems use post-processing methods after Image Signal Processor (ISP) for image fusion which are computationally intensive and use two ISPs. We propose a novel architecture in which the image fusion can be done in Bayer domain prior to the ISP.

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Authors:
Aravind Rangavajjula, Anurag Jain
Submitted On:
12 September 2017 - 3:19am
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ICIP_2017_Paper_#1351_Presentation_Prashant_Rupapara.pdf

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[1] Aravind Rangavajjula, Anurag Jain, "LOW COMPLEXITY IMAGE FUSION IN BAYER DOMAIN USING A MONOCHROME SENSOR AND BAYER SENSOR", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1925. Accessed: Sep. 22, 2018.
@article{1925-17,
url = {http://sigport.org/1925},
author = {Aravind Rangavajjula; Anurag Jain },
publisher = {IEEE SigPort},
title = {LOW COMPLEXITY IMAGE FUSION IN BAYER DOMAIN USING A MONOCHROME SENSOR AND BAYER SENSOR},
year = {2017} }
TY - EJOUR
T1 - LOW COMPLEXITY IMAGE FUSION IN BAYER DOMAIN USING A MONOCHROME SENSOR AND BAYER SENSOR
AU - Aravind Rangavajjula; Anurag Jain
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1925
ER -
Aravind Rangavajjula, Anurag Jain. (2017). LOW COMPLEXITY IMAGE FUSION IN BAYER DOMAIN USING A MONOCHROME SENSOR AND BAYER SENSOR. IEEE SigPort. http://sigport.org/1925
Aravind Rangavajjula, Anurag Jain, 2017. LOW COMPLEXITY IMAGE FUSION IN BAYER DOMAIN USING A MONOCHROME SENSOR AND BAYER SENSOR. Available at: http://sigport.org/1925.
Aravind Rangavajjula, Anurag Jain. (2017). "LOW COMPLEXITY IMAGE FUSION IN BAYER DOMAIN USING A MONOCHROME SENSOR AND BAYER SENSOR." Web.
1. Aravind Rangavajjula, Anurag Jain. LOW COMPLEXITY IMAGE FUSION IN BAYER DOMAIN USING A MONOCHROME SENSOR AND BAYER SENSOR [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1925

Constrain the Docile CTUs: an In-Frame Complexity Allocator for HEVC Intra Encoders

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Authors:
Alexandre Mercat, Florian Arrestier, Wassim Hamidouche, Maxime Pelcat, Daniel Menard
Submitted On:
3 March 2017 - 9:00am
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ICASSP_2017_Allocator.pdf

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[1] Alexandre Mercat, Florian Arrestier, Wassim Hamidouche, Maxime Pelcat, Daniel Menard, "Constrain the Docile CTUs: an In-Frame Complexity Allocator for HEVC Intra Encoders", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1611. Accessed: Sep. 22, 2018.
@article{1611-17,
url = {http://sigport.org/1611},
author = {Alexandre Mercat; Florian Arrestier; Wassim Hamidouche; Maxime Pelcat; Daniel Menard },
publisher = {IEEE SigPort},
title = {Constrain the Docile CTUs: an In-Frame Complexity Allocator for HEVC Intra Encoders},
year = {2017} }
TY - EJOUR
T1 - Constrain the Docile CTUs: an In-Frame Complexity Allocator for HEVC Intra Encoders
AU - Alexandre Mercat; Florian Arrestier; Wassim Hamidouche; Maxime Pelcat; Daniel Menard
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1611
ER -
Alexandre Mercat, Florian Arrestier, Wassim Hamidouche, Maxime Pelcat, Daniel Menard. (2017). Constrain the Docile CTUs: an In-Frame Complexity Allocator for HEVC Intra Encoders. IEEE SigPort. http://sigport.org/1611
Alexandre Mercat, Florian Arrestier, Wassim Hamidouche, Maxime Pelcat, Daniel Menard, 2017. Constrain the Docile CTUs: an In-Frame Complexity Allocator for HEVC Intra Encoders. Available at: http://sigport.org/1611.
Alexandre Mercat, Florian Arrestier, Wassim Hamidouche, Maxime Pelcat, Daniel Menard. (2017). "Constrain the Docile CTUs: an In-Frame Complexity Allocator for HEVC Intra Encoders." Web.
1. Alexandre Mercat, Florian Arrestier, Wassim Hamidouche, Maxime Pelcat, Daniel Menard. Constrain the Docile CTUs: an In-Frame Complexity Allocator for HEVC Intra Encoders [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1611

Energy Reduction Opportunities in an HEVC Real-Time Encoder

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Authors:
Florian ARRESTIER , Wassim HAMIDOUCHE, Maxime PELCAT, Daniel MENARD
Submitted On:
3 March 2017 - 8:55am
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ICASSP_2017_Energy_paper.pdf

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[1] Florian ARRESTIER , Wassim HAMIDOUCHE, Maxime PELCAT, Daniel MENARD, "Energy Reduction Opportunities in an HEVC Real-Time Encoder", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1610. Accessed: Sep. 22, 2018.
@article{1610-17,
url = {http://sigport.org/1610},
author = {Florian ARRESTIER ; Wassim HAMIDOUCHE; Maxime PELCAT; Daniel MENARD },
publisher = {IEEE SigPort},
title = {Energy Reduction Opportunities in an HEVC Real-Time Encoder},
year = {2017} }
TY - EJOUR
T1 - Energy Reduction Opportunities in an HEVC Real-Time Encoder
AU - Florian ARRESTIER ; Wassim HAMIDOUCHE; Maxime PELCAT; Daniel MENARD
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1610
ER -
Florian ARRESTIER , Wassim HAMIDOUCHE, Maxime PELCAT, Daniel MENARD. (2017). Energy Reduction Opportunities in an HEVC Real-Time Encoder. IEEE SigPort. http://sigport.org/1610
Florian ARRESTIER , Wassim HAMIDOUCHE, Maxime PELCAT, Daniel MENARD, 2017. Energy Reduction Opportunities in an HEVC Real-Time Encoder. Available at: http://sigport.org/1610.
Florian ARRESTIER , Wassim HAMIDOUCHE, Maxime PELCAT, Daniel MENARD. (2017). "Energy Reduction Opportunities in an HEVC Real-Time Encoder." Web.
1. Florian ARRESTIER , Wassim HAMIDOUCHE, Maxime PELCAT, Daniel MENARD. Energy Reduction Opportunities in an HEVC Real-Time Encoder [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1610

Massive MIMO Processing at the Semiconductor Edge: Exploring the System and Circuit Margins for Power Saving


In this work, we consider the potential of processing at the semiconductor edge by allowing voltage over-scaling and complete antenna signal failures, focusing on the per-antenna digital functionality that dominant the DSP complexity. The impact of the resulting hardware errors on the performance of Massive MIMO transmission is analyzed. It shows that the inherent redundancy in the system brings a solid tolerance to sporadic hardware errors. Potential control tactics are introduced, that could further optimize the operation of the error-prone circuitry.

Paper Details

Authors:
Yanxiang Huang, Claude Desset, André Bourdoux, Wim Dehaene, Liesbet Van der Perre
Submitted On:
3 March 2017 - 7:15am
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SPCOM_L1_6_Huang_v3.pdf

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[1] Yanxiang Huang, Claude Desset, André Bourdoux, Wim Dehaene, Liesbet Van der Perre, "Massive MIMO Processing at the Semiconductor Edge: Exploring the System and Circuit Margins for Power Saving", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1607. Accessed: Sep. 22, 2018.
@article{1607-17,
url = {http://sigport.org/1607},
author = {Yanxiang Huang; Claude Desset; André Bourdoux; Wim Dehaene; Liesbet Van der Perre },
publisher = {IEEE SigPort},
title = {Massive MIMO Processing at the Semiconductor Edge: Exploring the System and Circuit Margins for Power Saving},
year = {2017} }
TY - EJOUR
T1 - Massive MIMO Processing at the Semiconductor Edge: Exploring the System and Circuit Margins for Power Saving
AU - Yanxiang Huang; Claude Desset; André Bourdoux; Wim Dehaene; Liesbet Van der Perre
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1607
ER -
Yanxiang Huang, Claude Desset, André Bourdoux, Wim Dehaene, Liesbet Van der Perre. (2017). Massive MIMO Processing at the Semiconductor Edge: Exploring the System and Circuit Margins for Power Saving. IEEE SigPort. http://sigport.org/1607
Yanxiang Huang, Claude Desset, André Bourdoux, Wim Dehaene, Liesbet Van der Perre, 2017. Massive MIMO Processing at the Semiconductor Edge: Exploring the System and Circuit Margins for Power Saving. Available at: http://sigport.org/1607.
Yanxiang Huang, Claude Desset, André Bourdoux, Wim Dehaene, Liesbet Van der Perre. (2017). "Massive MIMO Processing at the Semiconductor Edge: Exploring the System and Circuit Margins for Power Saving." Web.
1. Yanxiang Huang, Claude Desset, André Bourdoux, Wim Dehaene, Liesbet Van der Perre. Massive MIMO Processing at the Semiconductor Edge: Exploring the System and Circuit Margins for Power Saving [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1607