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QUANTISATION EFFECTS IN PDMM: A FIRST STUDY FOR SYNCHRONOUS DISTRIBUTED AVERAGING

Abstract: 

Large-scale networks of computing units, often characterised by the absence of central control, have become commonplace in many applications. To facilitate data processing in these large-scale networks, distributed signal processing is required. The iterative behaviour of distributed processing algorithms combined with energy, computational power, and bandwidth limitations imposed by such networks, place tight constraints on the transmission capacities of the individual nodes. In this paper we investigate the effects of subtractive dithered uniform quantisation in PDMM for the synchronous distributed averaging problem. This is done by deriving expressions for the mean squared error (MSE) that include quantisation noise. Also, the required data rate for quantised PDMM is considered. It was found that for practical applications quantisation in PDMM can be applied with a fixed-rate quantiser, such that significant data rate reduction can be achieved, without compromising the rate of convergence.

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Paper Details

Authors:
Daan H. M. Schellekens, Thomas Sherson, Richard Heusdens
Submitted On:
14 March 2017 - 5:54am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Daan H. M. Schellekens
Paper Code:
SPTM-P4.4
Document Year:
2017
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Schellekens 2017 - Poster - QUANTISATION EFFECTS IN PDMM A FIRST STUDY FOR SYNCHRONOUS DISTRIBUTED AVERAGING.pdf

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[1] Daan H. M. Schellekens, Thomas Sherson, Richard Heusdens, "QUANTISATION EFFECTS IN PDMM: A FIRST STUDY FOR SYNCHRONOUS DISTRIBUTED AVERAGING", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1764. Accessed: Aug. 20, 2017.
@article{1764-17,
url = {http://sigport.org/1764},
author = {Daan H. M. Schellekens; Thomas Sherson; Richard Heusdens },
publisher = {IEEE SigPort},
title = {QUANTISATION EFFECTS IN PDMM: A FIRST STUDY FOR SYNCHRONOUS DISTRIBUTED AVERAGING},
year = {2017} }
TY - EJOUR
T1 - QUANTISATION EFFECTS IN PDMM: A FIRST STUDY FOR SYNCHRONOUS DISTRIBUTED AVERAGING
AU - Daan H. M. Schellekens; Thomas Sherson; Richard Heusdens
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1764
ER -
Daan H. M. Schellekens, Thomas Sherson, Richard Heusdens. (2017). QUANTISATION EFFECTS IN PDMM: A FIRST STUDY FOR SYNCHRONOUS DISTRIBUTED AVERAGING. IEEE SigPort. http://sigport.org/1764
Daan H. M. Schellekens, Thomas Sherson, Richard Heusdens, 2017. QUANTISATION EFFECTS IN PDMM: A FIRST STUDY FOR SYNCHRONOUS DISTRIBUTED AVERAGING. Available at: http://sigport.org/1764.
Daan H. M. Schellekens, Thomas Sherson, Richard Heusdens. (2017). "QUANTISATION EFFECTS IN PDMM: A FIRST STUDY FOR SYNCHRONOUS DISTRIBUTED AVERAGING." Web.
1. Daan H. M. Schellekens, Thomas Sherson, Richard Heusdens. QUANTISATION EFFECTS IN PDMM: A FIRST STUDY FOR SYNCHRONOUS DISTRIBUTED AVERAGING [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1764