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Maximum Power Transfer01:16

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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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Toward Intelligent Roads: Uniting Sensing and Communication in Mobile Networks.

Sensors (Basel, Switzerland)·2025
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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An Energy-Efficient Unselfish Spectrum Leasing Scheme for Cognitive Radio Networks.

Denis Bilibashi1, Enrico M Vitucci1, Vittorio Degli-Esposti1

  • 1Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" (DEI), CNIT, University of Bologna, 40126 Bologna, Italy.

Sensors (Basel, Switzerland)
|November 3, 2020
PubMed
Summary

This study introduces an unselfish spectrum leasing scheme for cognitive radio (CR) networks. The novel approach enhances energy efficiency for primary users by optimizing resource allocation, benefiting secondary users too.

Keywords:
cognitive radioconvex optimizationenergy efficiencypower allocationrelay selectionspectrum leasing

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Area of Science:

  • Wireless Communications
  • Cognitive Radio Networks
  • Resource Management

Background:

  • Cooperative communication in cognitive radio (CR) enhances primary user (PU) performance and offers opportunities for secondary users (SU).
  • PUs lease spectrum to SUs acting as relays, incentivizing cooperation.
  • Existing methods lack optimal energy efficiency and environmental consideration.

Purpose of the Study:

  • Propose a novel unselfish spectrum leasing scheme for CR networks.
  • Develop an energy-efficient solution to minimize environmental impact.
  • Optimize resource allocation for enhanced network performance.

Main Methods:

  • Introduced a network management architecture for cooperative CR.
  • Formulated resource allocation as a constrained sum energy efficiency maximization problem.
  • Solved the optimization using non-linear programming and a modified Kuhn-Munkres algorithm.

Main Results:

  • The proposed unselfish spectrum leasing scheme significantly improves energy efficiency for PUs.
  • Demonstrated a notable increment in energy efficiency compared to previous algorithms.
  • Validated the effectiveness through system simulations.

Conclusions:

  • The novel unselfish spectrum leasing scheme is an effective energy-efficient solution for CR networks.
  • The proposed resource allocation strategy enhances PU network performance.
  • This approach contributes to sustainable wireless communication by minimizing environmental impact.