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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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Maximum Power Flow and Line Loadability01:23

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The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
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Consider a linear AC Thevenin equivalent circuit connected to a load impedance.
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Aluminum has become the material of choice for overhead transmission lines, surpassing copper due to its abundance and cost-effectiveness. The most prevalent type is the aluminum conductor, steel-reinforced (ACSR), which combines aluminum strands around a steel core. Other variants include all-aluminum conductors (AAC), all-aluminum alloy conductors (AAAC), aluminum conductor alloy-reinforced (ACAR), and aluminum-clad steel conductors. Advanced designs, such as aluminum conductors with steel...
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Stackelberg Game-Based Power Allocation for V2X Communications.

Erqing Zhang1, Sixing Yin1, Huisheng Ma1

  • 1School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China.

Sensors (Basel, Switzerland)
|December 22, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a Stackelberg game for power allocation in vehicle-to-everything (V2X) communications. The proposed method optimizes economic profit and power consumption for both base stations and V2X users.

Keywords:
Stackelberg gameURLLCV2X communicationsoptimizationpower allocation

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Area of Science:

  • Wireless Communication Networks
  • Game Theory in Telecommunications
  • 5G Network Applications

Background:

  • Ultra-reliable low-latency communication (URLLC) is a key 5G scenario crucial for advanced vehicle-to-everything (V2X) applications.
  • V2X communications operating within cellular networks face interference challenges that impact performance and efficiency.

Purpose of the Study:

  • To investigate the power allocation problem in V2X communications underlaying cellular networks using a Stackelberg game model.
  • To optimize the utility for both the macro-cellular base station (MBS) and vehicle users (VUEs) by managing interference and power consumption.

Main Methods:

  • A Stackelberg game was formulated, with the MBS as the leader setting interference prices and VUEs as followers determining transmit power.
  • The model aimed to maximize MBS utility from interference revenue while considering interference costs, and VUE utility per unit power consumption.

Main Results:

  • Optimal interference prices for the MBS and optimal transmit powers for VUEs were derived from the Stackelberg model analysis.
  • Simulation results confirmed the proposed Stackelberg game-based power allocation scheme outperforms traditional strategies.

Conclusions:

  • The developed power allocation scheme effectively balances economic gains and power efficiency in V2X underlaying cellular networks.
  • The Stackelberg game approach provides a superior strategy for managing resources and performance in 5G URLLC V2X scenarios.