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

Jesús Gutiérrez-Gutiérrez1, Fernando M Villar-Rosety1, Xabier Insausti1

  • 1Department of Biomedical Engineering and Sciences, Tecnun, University of Navarra, Manuel Lardizábal 13, 20018 Donostia-San Sebastián, Spain.

Entropy (Basel, Switzerland)
|May 28, 2022
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Summary
This summary is machine-generated.

Analog coding schemes reduce device size and power consumption for Internet of Things (IoT) applications. Proposed linear and DFT-based schemes lower hardware complexity and cost, proving asymptotically optimal for various data sources.

Keywords:
AR sourcesARMA sourcesDFTMA sourcesWSS sourcesanalog linear codingfinite-length data blockslow-complexityshort packet communication

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Signal Processing

Background:

  • Internet of Things (IoT) applications require numerous devices for data acquisition and analysis.
  • High power consumption and hardware costs of these devices are significant challenges.
  • Traditional systems often rely on Analog-to-Digital Converters (ADCs), increasing complexity and resource demands.

Purpose of the Study:

  • To propose novel analog coding schemes to reduce power consumption and device size in IoT.
  • To develop linear and DFT-based transmission schemes to lower operational complexity and hardware costs.
  • To evaluate the optimality of the proposed schemes for various data sources.

Main Methods:

  • Implementation of analog coding techniques, eliminating the need for ADCs.
  • Development of linear and Discrete Fourier Transform (DFT)-based transmission strategies.
  • Asymptotic optimality analysis for Widely Stationary (WSS), Moving Average (MA), Autoregressive (AR), and Autoregressive Moving Average (ARMA) data sources.

Main Results:

  • Analog coding successfully reduces device size and power consumption.
  • Linear and DFT-based schemes significantly decrease processing complexity and hardware expenses.
  • The proposed schemes demonstrate asymptotic optimality for WSS, MA, AR, and ARMA sources within the linear scheme category.

Conclusions:

  • Analog coding schemes offer a viable solution for power and cost-efficient IoT devices.
  • The proposed linear and DFT-based transmission methods enhance hardware efficiency.
  • These optimized schemes are suitable for resource-constrained IoT environments and various signal types.