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Interference Suppression via Joint Interference Alignment and Power Allocation in Integrated Communication and

Xinglong Wang1, Tiantian He2, Xiyuan Ren3

  • 1Institute of Telecommunication and Navigation Satellites, China Academy of Space Technology, Beijing 100094, China.

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Summary
This summary is machine-generated.

This study introduces an interference suppression scheme for integrated communication and navigation (ICAN) systems, combining interference alignment (IA) and power allocation (PA) to enhance performance.

Keywords:
integrated communication and navigation (ICAN)interference alignment (IA)interference suppressionpower allocation (PA)

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Area of Science:

  • Electrical Engineering
  • Communications Engineering
  • Signal Processing

Background:

  • Integrated Communication and Navigation (ICAN) systems face complex interference challenges.
  • Interference degrades system performance, impacting both communication and navigation functionalities.
  • Existing methods may not sufficiently address multi-faceted interference in ICAN.

Purpose of the Study:

  • To propose and evaluate a novel interference suppression scheme for ICAN systems.
  • To mitigate both inter-satellite and intra-satellite beam interference.
  • To optimize system sum rate through advanced power allocation strategies.

Main Methods:

  • Integration of Interference Alignment (IA) to align interference signals into a common subspace.
  • Design of beam precoding and user detection vectors for interference elimination.
  • Formulation of a Power Allocation (PA) optimization problem to maximize system sum rate.
  • Application of convex optimization and Karush-Kuhn-Tucker (KKT) conditions for optimal solution derivation.

Main Results:

  • The proposed IA algorithm effectively mitigates inter- and intra-satellite beam interference.
  • The PA optimization problem is successfully decoupled and transformed into a convex problem.
  • Optimal solutions are derived efficiently using KKT conditions.
  • Simulation results validate the effectiveness of the integrated IA and PA scheme.

Conclusions:

  • The proposed scheme significantly suppresses interference in ICAN systems.
  • The integration of IA and PA offers a robust solution for enhancing system performance.
  • This approach provides a foundation for more reliable and efficient ICAN operations.