SoftPSN: Software-defined resource slicing for low-latency reliable public safety networks

Anteneh A. Gebremariam, Muhammad Usman, Riccardo Bassoli, Fabrizio Granelli*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)
1 Downloads (Pure)

Abstract

Achieving the low-latency constraints of public safety applications during disaster could be life-saving. In the context of public safety scenarios, in this paper, we propose an efficient radio resource slicing algorithm that enables first responders to deliver their life-saving activities effectively. We used the tool of stochastic geometry to model the base station distribution before and after a disaster. In addition, under this umbrella, we also proposed an example of public safety scenario, ultrareliable low-latency file sharing, via in-band device-to-device (D2D) communication. The example scenario is implemented in NS-3. The simulation results show that radio resource slicing and prioritization of first responders resources can ensure ultrareliable low-latency communication (URLLC) in emergency scenarios.
Original languageEnglish
Article number7253283
Number of pages7
JournalWireless Communications and Mobile Computing
Volume2018
DOIs
Publication statusPublished - 14 May 2018

Keywords

  • low-latency
  • public safety
  • networks

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