On the throughput of multi-source multi-destination relay networks with queueing constraints

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6 Scopus citations


In this paper, the throughput of relay networks with multiple source-destination pairs under queueing constraints has been investigated for both variable-rate and fixed-rate schemes. When channel side information (CSI) is available at the transmitter side, transmitters can adapt their transmission rates according to the channel conditions, and achieve the instantaneous channel capacities. In this case, the departure rates at each node have been characterized for different system parameters, which control the power allocation, time allocation, and decoding order. In the other case of no CSI at the transmitters, a simple automatic repeat request (ARQ) protocol with fixed rate transmission is used to provide reliable communication. Under this ARQ assumption, the instantaneous departure rates at each node can be modeled as an ON-OFF process, and the probabilities of ON and OFF states are identified. With the characterization of the arrival and departure rates at each buffer, stability conditions are identified, and an effective capacity analysis is conducted for both cases to determine the system throughput under statistical queueing constraints. In addition, for the variable-rate scheme, the concavity of the sum rate is shown for certain parameters, helping to improve the efficiency of parameter optimization. Finally, through numerical results, the influence of system parameters and the behavior of the system throughput are identified.

Original languageEnglish (US)
Article number7457724
Pages (from-to)5368-5383
Number of pages16
JournalIEEE Transactions on Wireless Communications
Issue number8
StatePublished - Aug 2016


  • Broadcast channel
  • buffer overflow
  • decode-and-forward relaying
  • effective capacity
  • fixed-rate transmissions
  • multiple-access channel
  • statistical queueing constraints
  • throughput
  • variable-rate transmissions

ASJC Scopus subject areas

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


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