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This study enhances Terrestrial-Satellite Integrated Networks (TSIN) using Non-Orthogonal Multiple Access (NOMA) to maximize data rates under spectrum scarcity. Dynamic user pairing and joint resource optimization improve overall system performance.

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Area of Science:

  • Wireless communication networks
  • Integrated terrestrial and satellite systems
  • Resource management in telecommunications

Background:

  • Limited frequency band resources necessitate advanced multiple access techniques for Terrestrial-Satellite Integrated Networks (TSIN).
  • Non-orthogonal multiple access (NOMA) is a promising technology for improving spectral efficiency in integrated networks.
  • Interference between terrestrial and satellite networks poses a challenge to overall system performance.

Purpose of the Study:

  • To maximize the sum rate of the TSIN by formulating a constrained optimization problem.
  • To develop dynamic group pairing schemes for effective NOMA user pairing.
  • To propose a joint optimization algorithm for resource allocation, including power, beam, and base station channels.

Main Methods:

  • Formulation of a constrained optimization problem to maximize the sum rate.
  • Analysis of individual terrestrial and satellite network capacity performance to derive optimal power control factors.
  • Development of a dynamic group pairing scheme based on user elevation angle, beam angle, and distance.
  • Proposal of a joint optimization algorithm for power allocation and channel resource management.

Main Results:

  • Derivation of the optimal power control factor expression for terrestrial and satellite networks.
  • Development of a dynamic group pairing scheme for efficient NOMA user allocation.
  • A joint optimization algorithm for resource allocation leading to improved system performance.
  • Simulation results demonstrating the effectiveness of the proposed user pairing and resource allocation strategies.

Conclusions:

  • The proposed dynamic group pairing and joint resource allocation schemes effectively improve the performance of TSIN utilizing NOMA.
  • The study provides a framework for maximizing sum rate in spectrum-limited integrated networks.
  • The findings offer valuable insights for the design and optimization of future terrestrial-satellite communication systems.