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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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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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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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An efficient algorithm for resource optimization in IRS-mmWave-NOMA B5G wireless networks.

Weiqian Liang1, Atef Abdrabou2, Efe Francis Orumwense3

  • 1School of Ocean Information Engineering, Jimei University, Xiamen, Fujian, 361021, China.

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|February 9, 2024
PubMed
Summary

This study introduces a new resource optimization technique for intelligent reflecting surface (IRS) millimeter-wave (mmWave)-non-orthogonal multiple-access (NOMA) systems. The proposed iterative algorithm enhances sum-rate and reduces computation delay and NMSE.

Keywords:
B5G networksIRSNOMAResource optimizationmmWave communication

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Area of Science:

  • Wireless Communication Systems
  • Signal Processing
  • Optimization Techniques

Background:

  • Intelligent Reflecting Surfaces (IRS) enhance millimeter-wave (mmWave) systems.
  • Non-Orthogonal Multiple Access (NOMA) improves spectral efficiency.
  • The combination of IRS-mmWave-NOMA in Beyond 5G (B5G) networks requires further research.

Purpose of the Study:

  • To propose a novel resource optimization technique for IRS-mmWave-NOMA B5G wireless networks.
  • To address the performance gap in existing research on IRS-mmWave-NOMA systems.
  • To optimize key parameters including IRS beam selection, power distribution, and decoding order.

Main Methods:

  • Development of an iterative algorithm for resource optimization.
  • Incorporation of critical constraints such as IRS beam selection, transmit power distribution, and decoding order.
  • Performance evaluation through simulations.

Main Results:

  • The proposed approach significantly improves sum-rate.
  • Demonstrated reductions in computation delay and Normalized Mean Squared Error (NMSE).
  • Outperformed existing state-of-the-art algorithms in key performance metrics.

Conclusions:

  • The developed iterative algorithm offers a hardware-friendly and efficient solution.
  • The proposed technique validates the effectiveness of IRS in mmWave-NOMA systems.
  • This research provides a foundation for advanced resource management in future wireless networks.