Minimizing Age of Information for an Energy Harvesting Cognitive Radio

Shiyang Leng, Aylin Yener

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

This paper studies average age of information (AoI) minimization in cognitive radio energy harvesting communications. The secondary user is an energy harvesting sensor that harvests ambient energy with which it performs spectrum sensing and status updates. Status-update data is sent by opportunistically accessing the primary spectrum. Specifically, the secondary user aims to minimize the average AoI by adaptively making sensing and update decisions based on its energy availability and the availability of the primary spectrum. The sequential decision problem is formulated as a partially observable Markov decision process and solved by dynamic programming. The properties of the optimal sensing and updating policies are investigated and shown to have threshold structure. Numerical results confirm the analytical findings.

Original languageEnglish (US)
Title of host publication2019 IEEE Wireless Communications and Networking Conference, WCNC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538676462
DOIs
StatePublished - Apr 2019
Event2019 IEEE Wireless Communications and Networking Conference, WCNC 2019 - Marrakesh, Morocco
Duration: Apr 15 2019Apr 19 2019

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
Volume2019-April
ISSN (Print)1525-3511

Conference

Conference2019 IEEE Wireless Communications and Networking Conference, WCNC 2019
CountryMorocco
CityMarrakesh
Period4/15/194/19/19

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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