ON THE EFFICIENCY OF ALGORITHM FOR SOLVING COMPLEX QUADRATIC DOUBLE–RATIO MINIMAX OPTIMIZATION PROBLEM

Document Type : Research Paper

Authors

Department of Computer Science, Faculty of Mathematical Sciences, Alzahra University, Tehran, Iran.

Abstract

Quadratic fractional optimization problems frequently arise in wireless communications. This paper
introduces an enhanced semidefinite optimization relaxation approach for tackling signal design challenges associated with quadratic double–ratio minimax optimization in complex space. It results in
two algorithms that offer a global optimum solution for the problem.

Keywords

Main Subjects



Articles in Press, Accepted Manuscript
Available Online from 14 January 2025
  • Receive Date: 28 November 2024
  • Revise Date: 11 December 2024
  • Accept Date: 13 January 2025