Low-Complexity Alternatives to the Optimal Linear Coding Scheme for Transmitting ARMA Sources

In the era of the Internet of Things, there are many applications where numerous devices are deployed to acquire information and send it to analyse the data and make informed decisions. In these applications, the power consumption and price of the devices are often an issue. In this work, analog cod...

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Bibliographic Details
Published in:Entropy (Basel, Switzerland) Vol. 24; no. 5; p. 669
Main Authors: Gutiérrez-Gutiérrez, Jesús, Villar-Rosety, Fernando M., Insausti, Xabier, Zárraga-Rodríguez, Marta
Format: Journal Article
Language:English
Published: Switzerland MDPI AG 10.05.2022
MDPI
Subjects:
analog linear coding
AR sources
Codes
Coding
Communications systems
Complexity
Decision analysis
Eigenvalues
finite-length data blocks
Internet of Things
low-complexity
MA sources
Noise
Power consumption
Power management
Random variables
short packet communication
low-complexity
finite-length data blocks
DFT
analog linear coding
MA sources
WSS sources
ARMA sources
AR sources
short packet communication
ISSN:1099-4300, 1099-4300
Online Access:Get full text
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Summary:In the era of the Internet of Things, there are many applications where numerous devices are deployed to acquire information and send it to analyse the data and make informed decisions. In these applications, the power consumption and price of the devices are often an issue. In this work, analog coding schemes are considered, so that an ADC is not needed, allowing the size and power consumption of the devices to be reduced. In addition, linear and DFT-based transmission schemes are proposed, so that the complexity of the operations involved is lowered, thus reducing the requirements in terms of processing capacity and the price of the hardware. The proposed schemes are proved to be asymptotically optimal among the linear ones for WSS, MA, AR and ARMA sources.
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ISSN:1099-4300
1099-4300
DOI:10.3390/e24050669