Pareto optimization for MIMO interference channel

Huiqin Du, Tharm Ratnarajah, Mathini Sellathurai

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Interference alignment (IA) is a transmission technique for exploiting all available degrees of freedom (DoF) in the frequency- or time-selective interference channel with an arbitrary number of users, which can achieve linear capacity scaling with number of users. However, standard IA approach has limit performance in the low-to-moderate signal-to-noise ratio (SNR) region. Recently, linear combination designs have been proposed to improve performance of sum rate at finite SNR which jointly considers the interference and the signal optimization simultaneously, but is sensitive to the weight selection. Therefore, it motivates us to propose a normal-boundary intersection (NBI)-based design that jointly optimizes the rank of interference and its power with evenly spread parameters. The underlying problem is transferred into limited subproblem that can be efficiently solved. Simulation results validate the effectiveness of the proposed algorithm that achieves the Pareto optimality and provides evenly-distributed Pareto frontiers.

Original languageEnglish
Title of host publicationIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Number of pages5
ISBN (Print)9781479949120
Publication statusPublished - 25 Jun 2015
Event25th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communication 2014 - Washington, United States
Duration: 2 Sept 20145 Sept 2014


Conference25th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communication 2014
Abbreviated titlePIMRC 2014
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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