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Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
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On Power-Efficient Low-Complexity Adaptation for D2D Resource Allocation with Interference Cancelation.

Redha M Radaydeh1

  • 1Department of Electrical Engineering, Engineering and Technology, Texas A&M University-Commerce (TAMUC), Commerce, TX 75429-3011, USA.

Sensors (Basel, Switzerland)
|August 26, 2023
PubMed
Summary

This study introduces a framework for adaptive resource allocation in device-to-device (D2D) networks, optimizing power and complexity. The adaptive scheme enhances signal-to-interference-plus-noise ratio (SINR) performance in D2D communications.

Keywords:
D2D communicationlink adaptationlow-complexity processingperformance analysispower-efficient schemeprocessing loadresource allocationstatistical models

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Area of Science:

  • Wireless Communication Networks
  • Resource Allocation Algorithms
  • Decentralized Systems

Background:

  • Device-to-device (D2D) communication offers direct device interaction, enhancing network efficiency.
  • Decentralized networks require robust resource allocation to manage interference and power.
  • Existing methods often face challenges with complexity and power consumption in D2D scenarios.

Purpose of the Study:

  • To develop a low-complexity, power-efficient adaptive resource allocation framework for decentralized D2D networks.
  • To model and analyze the D2D link adaptation scheme under generalized channel conditions, including interference.
  • To provide analytical results for performance and processing load measures, enabling tradeoff studies.

Main Methods:

  • A system model considering direct device communication via signaling channels.
  • An adaptive D2D link adaptation scheme selecting transmitters and spectral channels based on performance targets.
  • Modeling and analysis under generalized channel conditions, incorporating interference and employing interference cancelation.

Main Results:

  • Generalized formulations for signal-to-interference-plus-noise ratio (SINR) statistics.
  • Analytical results for key performance and processing load measures.
  • Demonstration of tradeoffs between performance and processing complexity.

Conclusions:

  • The proposed framework achieves adaptive, low-complexity, and power-efficient resource allocation in D2D networks.
  • The analytical results provide valuable insights into SINR distributions and facilitate practical implementation.
  • The scheme enhances previous contributions and accommodates various real-world constraints.