Min-maxing interference alignment algorithm as a semidefinite programming problem

2013 ◽  
Author(s):  
Mohammed El-Absi ◽  
Mohamed El-Hadidy ◽  
Thomas Kaiser
Keyword(s):  
Semidefinite Programming ◽  
Programming Problem ◽  
Interference Alignment ◽  
Alignment Algorithm ◽  
Semidefinite Programming Problem

A Sequential Convex Program Approach to an Inverse Linear Semidefinite Programming Problem

2016 ◽  
Vol 33 (04) ◽  
pp. 1650025 ◽  
Author(s):  
Jia Wu ◽  
Yi Zhang ◽  
Liwei Zhang ◽  
Yue Lu
Keyword(s):  
Semidefinite Programming ◽  
Programming Problem ◽  
Difficult Problem ◽  
Dc Programming ◽  
Convex Program ◽  
Objective Parameter ◽  
Program Approach ◽  
Semidefinite Programming Problem ◽  
The Right ◽  
Linear Semidefinite Programming

This paper is devoted to the study of solving method for a type of inverse linear semidefinite programming problem in which both the objective parameter and the right-hand side parameter of the linear semidefinite programs are required to adjust. Since such kind of inverse problem is equivalent to a mathematical program with semidefinite cone complementarity constraints which is a rather difficult problem, we reformulate it as a nonconvex semi-definte programming problem by introducing a nonsmooth partial penalty function to penalize the complementarity constraint. The penalized problem is actually a nonsmooth DC programming problem which can be solved by a sequential convex program approach. Convergence analysis of the penalty models and the sequential convex program approach are shown. Numerical results are reported to demonstrate the efficiency of our approach.

scholarly journals New robust iterative minimum mean squared error-based interference alignment algorithm

2014 ◽  
Vol 2014 (2) ◽  
pp. 49-50 ◽  
Author(s):  
Sara Teodoro ◽  
Adão Silva ◽  
Rui Dinis ◽  
Daniel Castanheira ◽  
Atílio Gameiro
Keyword(s):  
Mean Squared Error ◽  
Interference Alignment ◽  
Alignment Algorithm ◽  
Minimum Mean Squared Error ◽  
Squared Error
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