Identification over Compound Multiple-Input Multiple-Output Broadcast Channels

Johannes Rosenberger, Uzi Pereg, Christian Deppe

Research output: Contribution to journalArticlepeer-review


The identification capacity region of the compound broadcast channel is determined under an average error criterion, where the sender has no channel state information. We give single-letter identification capacity formulas for discrete channels and multiple-input multiple-output Gaussian channels under an average input constraint. The capacity theorems apply to general discrete memoryless broadcast channels. This is in contrast to the transmission setting, where the capacity is only known for special cases, notably the degraded broadcast channel and the multiple-input multiple-output broadcast channel with private messages. Furthermore, the identification capacity region of the compound multiple-input multiple-output broadcast channel can be larger than the transmission capacity region. This is a departure from the single-user behavior of identification, since the identification capacity of a single-user channel equals the transmission capacity.

Original languageEnglish
Pages (from-to)1
Number of pages1
JournalIEEE Transactions on Information Theory
StateAccepted/In press - 2023
Externally publishedYes


  • Compounds
  • Error probability
  • Gaussian channels
  • Identification capacity
  • MIMO
  • MIMO communication
  • Receivers
  • Task analysis
  • broadcast communication
  • compound channels
  • multiple-input multiple-output

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Library and Information Sciences
  • Computer Science Applications


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