Constructive Interference Optimization for Data-Aided Precoding in Multi-User MISO Systems

Yongin Choi, Jaewon Lee, Minjoong Rim, Chung G. Kang

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)


Unlike the general concept of eliminating or avoiding inter-user interference in the downlink multi-user multiple-input single-output (MISO) system, the data-Aided precoding scheme attempts to exploit the constructive interference at symbol level. Positive interference can be constructed to enhance the received signal gain by predicting the phase and magnitude of the inter-user interference. In this paper, we formulate a constructive interference optimization problem that minimizes a sum of minimum mean square error (MMSE) for all users, while ensuring the minimum required constructive interference gain with a fixed total power constraint. As opposed to the existing scheme, such as constructive zero-forcing precoding or minimum power precoding subject to strict phase conservation for phase-shift keying (PSK), our proposed scheme exploits a full range of relaxation for the constructive interference region, while ensuring the link performance by minimizing the sum of mean-square error (MSE) for all users. In fact, the relaxed requirements lead to more degrees of freedom for improving the cumulative constructive interference gain (CCIG) under the varying channel conditions. Furthermore, our MMSE-based optimization approach allows for a semi-closed-form optimal solution to the data-Aided precoding scheme, providing a more CCIG without incurring unacceptable complexity than other state-of-The-Art schemes.

Original languageEnglish
Article number8602458
Pages (from-to)1128-1141
Number of pages14
JournalIEEE Transactions on Wireless Communications
Issue number2
Publication statusPublished - 2019 Feb


  • KKT conditions
  • Multi-user MISO downlink system
  • constructive interference gain
  • constructive interference optimization (CIO)
  • data-Aided precoding
  • minimum mean square error (MMSE)

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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