Gibbs Distribution Based Antenna Splitting and User Scheduling in Full Duplex Massive MIMO Systems

Mangqing Guo, M. Cenk Gursoy

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


A Gibbs distribution based combinatorial optimization algorithm for joint antenna splitting and user scheduling problem in full duplex massive multiple-input multiple-output (MIMO) system is proposed in this paper. The optimal solution of this problem can be determined by exhaustive search. However, the complexity of this approach becomes prohibitive in practice when the sample space is large, which is usually the case in massive MIMO systems. Our algorithm overcomes this drawback by converting the original problem into a Kullback-Leibler (KL) divergence minimization problem, and solving it through a related dynamical system via a stochastic gradient descent method. Using this approach, we improve the spectral efficiency (SE) of the system by performing joint antenna splitting and user scheduling. Additionally, numerical results show that the SE curves obtained with our proposed algorithm overlap with the curves achieved by exhaustive search for user scheduling.

Original languageEnglish (US)
Article number8998300
Pages (from-to)4508-4515
Number of pages8
JournalIEEE Transactions on Vehicular Technology
Issue number4
StatePublished - Apr 2020


  • Gibbs distribution
  • antenna splitting
  • combinatorial optimization
  • full duplex communications
  • user scheduling

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics


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