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Average AoI Optimization at Wireless-Powered Network Edge with Stochastic Arrivals

  • Quan Chen
  • , Jungen Xia
  • , Jing Li*
  • , Yuan Chai*
  • , Hong Gao
  • , Zhipeng Cai
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Age of Information (AoI) has been introduced as a new metric for characterizing data freshness in wireless networks. To optimize the system AoI at wireless-powered networks, we investigate the first work to optimize the weighted sum of average AoI with stochastic arrivals in this paper. Firstly, the average AoI optimization problem with stochastic arrivals is formulated, which tries to minimize the weighted sum of average AoI from the point of directional energy transferring. The lower bound of the achievable AoI by any network operating is derived. Then, to assist in the energy harvesting process of the source nodes, the stationary semi-randomized scheduling policy is introduced and the closed-form expression under the space of such a policy is derived. The optimal stationary semi-randomized scheduling policy is also proposed. Finally, based on the obtained closed-form expression of average AoI, an age-based max-weight charging scheduling policy is proposed with Lyapunov optimization, which is proved to have a bounded approximation ratio. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Original languageEnglish
Title of host publicationComputing and Combinatorics
Subtitle of host publication30th International Conference, COCOON 2024, Shanghai, China, August 23–25, 2024, Proceedings, Part II
EditorsYong Chen, Xiaofeng Gao, Xiaoming Sun, An Zhang
Place of PublicationSingapore
PublisherSpringer 
Pages226-237
ISBN (Electronic)978-981-96-1093-8
ISBN (Print)9789819610921
DOIs
Publication statusPublished - 2025
Event30th International Computing and Combinatorics Conference (COCOON 2024) - Jin Jiang Hotel Shanghai, Shanghai, China
Duration: 23 Aug 202425 Aug 2024
https://anl.sjtu.edu.cn/cocoon2024/

Publication series

NameLecture Notes in Computer Science
Volume15162
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference30th International Computing and Combinatorics Conference (COCOON 2024)
PlaceChina
CityShanghai
Period23/08/2425/08/24
Internet address

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