Reinforcement Learning for Minimizing Age of Information over Wireless Links

Ceran Arslan E. T., Gündüz D., Gyorgy A.

Age of Information: Foundations and Applications, Nikolaos Pappas,Mohamed A. Abd-Elmagid,Bo Zhou,Walid Saad,Harpreet S. Dhillon, Editör, Cambridge University Press, Cambridge (MA), USA , Cambridge, ss.327-362, 2022

  • Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
  • Basım Tarihi: 2022
  • Yayınevi: Cambridge University Press, Cambridge (MA), USA 
  • Basıldığı Şehir: Cambridge
  • Sayfa Sayıları: ss.327-362
  • Editörler: Nikolaos Pappas,Mohamed A. Abd-Elmagid,Bo Zhou,Walid Saad,Harpreet S. Dhillon, Editör
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

In this chapter, we study the age of information (AoI) when status updates of an underlying process of interest, sampled and recorded by a source node, must be transmitted to one or more destination nodes over error-prone wireless channels. We consider the practical setting, in which the statistics of the system are not known a priori, and must be learned in an online fashion. This requires designing (RL) algorithms that can adapt their policy dynamically through interactions with the environment. Accordingly, the aim of this chapter is to design and analyze RL algorithms to minimize the average AoI at the destination nodes, taking into account retransmissions due to channel errors.