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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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Consider a linear AC Thevenin equivalent circuit connected to a load impedance.
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Optimization Algorithms for Joint Power and Sub-Channel Allocation for NOMA-Based Maritime Communications.

Huanyu Li1,2, Hui Li1,2, Youling Zhou1

  • 1Department of Information and Communication Engineering, Hainan University, Haikou 570228, China.

Entropy (Basel, Switzerland)
|November 27, 2021
PubMed
Summary

This study optimizes resource allocation for marine communications using non-orthogonal multiple access (NOMA). Proposed algorithms improve weighted achievable rates (WAR) by 7.47% over OMA, with a new method balancing performance and complexity.

Keywords:
joint resource optimizationmaritime user allocationnon-orthogonal multiple accessoffshore communicationspower allocation

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Area of Science:

  • Wireless Communication
  • Resource Optimization
  • Marine Networks

Background:

  • Marine environments present unique challenges for wireless communication.
  • Non-orthogonal multiple access (NOMA) offers potential for enhanced spectral efficiency.
  • Optimizing resource allocation is crucial for effective marine communication systems.

Purpose of the Study:

  • To investigate resource optimization schemes for marine communication using NOMA.
  • To develop algorithms for joint power and user allocation in NOMA-based marine networks.
  • To balance information rate and user fairness through weighted achievable rate (WAR) optimization.

Main Methods:

  • Established a Longley-Rice channel model for the South China Sea offshore environment.
  • Introduced a resource block-based improved joint power and user allocation (RBPUA) scheme.
  • Developed three joint multi-subchannel power and user allocation algorithms, including gradient descent (GRAD), multi-choice knapsack with dynamic programming (MCKP-DP), and a DP-based fully polynomial-time approximation algorithm (DP-FPTA).

Main Results:

  • NOMA-based solutions (GRAD and MCKP-DP) improved WAR by 7.47% compared to orthogonal multiple access (OMA).
  • DP-FPTA achieved near-optimal WAR performance (99.55% of MCKP-DP) while reducing computational complexity by 84.3%.
  • The proposed DP-FPTA effectively balances performance optimization and computational complexity.

Conclusions:

  • The developed NOMA-based resource optimization schemes significantly enhance WAR in marine communication.
  • The DP-FPTA algorithm provides a practical solution for low-latency marine communication systems by optimizing the performance-complexity trade-off.
  • This research contributes to efficient and fair resource management in offshore wireless networks.