Optimizing Information Freshness in Wireless Networks: A Stochastic Geometry Approach

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

研究成果: Article同行評審

11 引文 斯高帕斯(Scopus)


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.

頁(從 - 到)2269-2280
期刊IEEE Transactions on Mobile Computing
出版狀態Published - 2021 六月 1

All Science Journal Classification (ASJC) codes

  • 軟體
  • 電腦網路與通信
  • 電氣與電子工程


深入研究「Optimizing Information Freshness in Wireless Networks: A Stochastic Geometry Approach」主題。共同形成了獨特的指紋。