Max-Min Fair Precoder Design and Power Allocation for MU-MIMO NOMA

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Yalcin A. Z., Cetin M. K., Yuksel M.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, vol.70, no.6, pp.6217-6221, 2021 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 70 Issue: 6
  • Publication Date: 2021
  • Doi Number: 10.1109/tvt.2021.3077504
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication Abstracts, Compendex, Computer & Applied Sciences, Environment Index, INSPEC, Metadex, Civil Engineering Abstracts
  • Page Numbers: pp.6217-6221
  • Keywords: NOMA, Optimization, Base stations, Receivers, Downlink, Resource management, Complexity theory, Max-min fairness, mean square error, MIMO, MMSE, NOMA, precoder design, rate splitting, SDR, SCA
  • Middle East Technical University Affiliated: Yes


In this correspondence, transmit precoders and their power allocation coefficients are designed jointly for a downlink non-orthogonal multiple access (NOMA) wireless communication system. The objective is to provide max-min fairness (MMF) among the strongest users in each group, while maintaining minimum target rates for all the other users. The proposed solutions are respectively based on semi-definite relaxation (SDR) and successive convex approximation (SCA) and on the minimum mean square error (MMSE) approaches. For the latter approach, a simplification is also suggested to lower complexity. It is shown that while rate-splitting (RS) has the best MMF rates, the low-complexity MMSE approach has the least complexity. Moreover, the SDR/SCA approach offers an excellent tradeoff between the two.