Centralized dynamic-time division duplex utilizing interference alignment

Mojtaba Ghermezcheshmeh, Mohsen Mohammadkhani Razlighi, Vahid Shah-Mansouri, Nikola Zlatanov

Research output: Contribution to journalArticleResearchpeer-review


In this paper, we combine centralized dynamic-time division duplex (D-TDD) with interference alignment (IA) for a wireless network comprised of N full duplex nodes. We maximize the performance of the proposed centralized D-TDD scheme utilizing IA in terms of rate region by optimizing the reception, transmission, simultaneous reception and transmission, and silence at each node in each time slot in addition to the choice of whether a node should treat the interference as noise or it should use IA. The problem of the rate region maximization of the wireless network is formulated as a non-convex optimization problem, whose optimal solution is found. The simulation results demonstrate that the proposed centralized D-TDD scheme utilizing IA achieves significant gains over the existing D-TDD schemes.

Original languageEnglish
Number of pages14
JournalIEEE Transactions on Wireless Communications
Publication statusAccepted/In press - 12 May 2021


  • adaptive scheduling
  • centralized network
  • Dynamic TDD
  • full-duplex
  • half-duplex
  • interference alignment
  • rate region
  • self-interference
  • sum-rate

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