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EPRSA: interference resource scheduling algorithms for air-ground communication networks.

Wenpeng Wu1, Zhenhua Wei2, Haiyang You3

  • 1Rocket Force University of Engineering, Xi'an, 710025, P.R. China. wwphwdy@126.com.

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Summary
This summary is machine-generated.

This study introduces an improved algorithm for managing air-ground communication interference, enhancing jammer scheduling for better performance and reduced costs in complex networks.

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Area of Science:

  • * Wireless communication networks
  • * Signal interference and jamming strategies
  • * Optimization algorithms for resource management

Background:

  • * Rapid expansion of air-ground communication networks presents new interference challenges.
  • * Limited research exists on joint air-ground distributed communication interference management.
  • * Existing methods lack efficient scheduling for jammers with constraints on energy, quantity, and type.

Purpose of the Study:

  • * To propose a novel mathematical model for interference link margin in air-ground networks.
  • * To develop an enhanced scheduling algorithm for jammers with limited resources and diverse types.
  • * To optimize system operation duration and minimize interference costs.

Main Methods:

  • * Development of the interference link margin mathematical model.
  • * Normalization and quantification of optimization objectives.
  • * Design of strategies including cycle/initial quantity selection, elastic initialization, double tabu power scheduling, and jammer conversion.
  • * Enhancement of the Elastic Parallel Random Search Algorithm (EPRSA) for jammer scheduling.

Main Results:

  • * EPRSA increased the success rate of finding interference schemes by 15.4%.
  • * Reduced jammer quantity by 26.4% and decreased overall cost by 31%.
  • * Significantly improved jammer type scheduling ability and increased system operation duration by 45.3%.

Conclusions:

  • * The proposed EPRSA effectively addresses the challenges of joint air-ground distributed communication interference.
  • * The algorithm demonstrates superior performance in jammer scheduling, cost reduction, and operational efficiency.
  • * This research provides a valuable framework for optimizing interference management in modern communication systems.