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Technology of Network & Communication
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2443-2447

Age of information minimization for backscatter assisted wireless powered communications

Song Zhaoxi
Tang Dong
Huang Gaofei
Zhao Sai
Liu Guiyun
School of Electronics & Communication Engineering, Guangzhou University, Guangzhou 510006, China

Abstract

Age of information(AoI) is a performance metric that captures the freshness of data from the destination's perspective. In the energy constrained real-time sensing Internet of Things scenario, this paper proposed a joint sampling and hybrid backscatter communication updating policy to improve the AoI performance of the system. The policy minimized the long-term average AoI of the system by allowing the source to select state sampling actions and transmission modes of updating processes. Specifically, this paper modeled the problem as an average cost Markov decision process(MDP). Then, when the system realized the dynamic environment information, the paper adopted optimal strategy by relative value iterative algorithm. When the system lacked the dynamic environment information, the paper applied Q-learning algorithm and exploration exploitation technique to learn the optimal strategy through trial-and-error interactions with the environment. Simulation results show that compared with the two reference policies, the proposed policy significantly improves the AoI performance of the system, and the AoI performance of the system increases with the decrease of the update package size or the increase of battery capacity.

Foundation Support

国家自然科学基金资助项目(61902084,61872098)
国家重点研发计划课题(2021YFB20124003)
广东省教育厅广东高校特色创新项目(2018KTSCX174)
广州市重点创新创业平台项目(2020PT104)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.12.0691
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 8
Section: Technology of Network & Communication
Pages: 2443-2447
Serial Number: 1001-3695(2022)08-034-2443-05

Publish History

[2022-03-15] Accepted Paper
[2022-08-05] Printed Article

Cite This Article

宋兆希, 唐冬, 黄高飞, 等. 反向散射辅助的无线供能通信中的信息年龄最小化 [J]. 计算机应用研究, 2022, 39 (8): 2443-2447. (Song Zhaoxi, Tang Dong, Huang Gaofei, et al. Age of information minimization for backscatter assisted wireless powered communications [J]. Application Research of Computers, 2022, 39 (8): 2443-2447. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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