Optimizing Information Freshness in Wireless Networks: A Stochastic Geometry Approach

Howard H. Yang, Ahmed Arafa, Tony Q.S. Quek, H. Vincent Poor

Research output: Contribution to journalArticlepeer-review

43 Scopus citations


Optimization of information freshness in wireless networks has usually been performed based on queueing analysis that captures only the temporal traffic dynamics associated with the transmitters and receivers. However, the effect of interference, which is mainly dominated by the interferers' geographic locations, is not well understood. In this paper, we leverage a spatiotemporal model, which allows one to characterize the age of information (AoI) from a joint queueing-geometry perspective, for the design of a decentralized scheduling policy that exploits local observation to make transmission decisions that minimize the AoI. To quantify the performance, we also derive accurate and tractable expressions for the peak AoI. Numerical results reveal that: I) the packet arrival rate directly affects the service process due to queueing interactions, ii) the proposed scheme can adapt to traffic variations and largely reduce the peak AoI, and iii) the proposed scheme scales well as the network grows in size. This is done by adaptively adjusting the radio access probability at each transmitter to the change of the ambient environment.

Original languageEnglish (US)
Article number9018083
Pages (from-to)2269-2280
Number of pages12
JournalIEEE Transactions on Mobile Computing
Issue number6
StatePublished - Jun 1 2021

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


  • Poisson bipolar network
  • age of information
  • scheduling policy
  • spatiotemporal analysis
  • stochastic geometry


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