On the Performance of Beam Division Nonorthogonal Multiple Access for FDD-Based Large-Scale Multi-User MIMO Systems

Yong I. Choi, Jae W. Lee, Minjoong Rim, Chung Gu Kang

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)


For the frequency division duplexing-based large-scale multiple-input multiple-output (MIMO) systems, we consider a multi-user MIMO (MU-MIMO) non-orthogonal multiple access (NOMA) scheme, referred to as beam division-NOMA (BD-NOMA), which is featured by a long-term feedback-based user grouping and clustering, along with a short-term feedback-based BD-NOMA scheduling. The performance of BD-NOMA is not warranted in practice because near users are severely interfered by strong signals for the far users of other beams, and furthermore, the long-term feedback-based user grouping and clustering might result in short-term inter-beam interference. We consider the short-term feedback-based joint optimization problem of user selection and power allocation for NOMA in each beam and system-wide power allocation for MU-MIMO, dealing with both intra-beam and inter-beam interference at the same time. We formulate a joint optimization problem for a large-scale MIMO system with the multiple channel quality indicators-based short-term feedback. In our analysis, we reformulate the original problem into an equivalent one that can be solved iteratively with the weighted minimum mean square error-based algorithm. Then, the performance analysis is presented to conclude that the proposed optimization is essential for enabling BD-NOMA to outperform beam division multiple access, especially when inter-beam interference becomes critical.

Original languageEnglish
Article number7932544
Pages (from-to)5077-5089
Number of pages13
JournalIEEE Transactions on Wireless Communications
Issue number8
Publication statusPublished - 2017 Aug


  • Multi-user multi-input multi-output (MU-MIMO)
  • beam division multiple access (BDMA)
  • frequency division duplexing (FDD) system
  • inter-beam interference
  • non-orthogonal multiple access (NOMA)
  • weighted minimum mean square error (WMMSE)
  • weighted sum rate (WSR)

ASJC Scopus subject areas

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


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