A Meta Distribution-Based Fine-Grained Analysis for Contention-based WiFi Backscatter Networks
WiFi backscatter communication has gained many applications, but its performance characteristics remain to be analyzed. While existing research has investigated the success probability of backscatter tags in contention-based WiFi backscatter networks (CWBNs), it has focused solely on the first-order statistic of the signal-to-interference-plus-noise ratio (SINR). In this paper, we present a meta distribution-based fine-grained analysis that provides high-order statistics of SINR and characterizes the disparity among backscatter transmission links in CWBNs. Leveraging stochastic geometry, we, for the first time, derive mathematical expressions for the <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$b-th$</tex> moments of conditional success probability and its meta distribution. The extensive Monte-Carlo simulation results validate the accuracy of our proposed theoretical model and demonstrate its outstanding value to help us understand the overall performance of CWBNs.
Authors
- Li Feng (ORCID: https://orcid.org/0000-0002-6324-9618)
- Qinglin Zhao (ORCID: https://orcid.org/0000-0003-4873-5631)
- Meng Shen (ORCID: https://orcid.org/0000-0002-1867-0972)
- Yu Luo (ORCID: https://orcid.org/0000-0003-3968-9725)
- Yi Sun (ORCID: https://orcid.org/0000-0002-9817-8004)
- MengChu Zhou (ORCID: https://orcid.org/0000-0002-5408-8752)
- Yulei Wang (ORCID: https://orcid.org/0000-0002-6246-7621)
Institutions
- Macau University of Science and Technology (MO)
- Beijing Institute of Technology (CN)
- Guangdong University of Technology (CN)
- Chinese Academy of Sciences (CN)
- Institute of Computing Technology (CN)
Publication Details
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1109/icnsc62968.2024.10760116
- Primary Topic
- Energy Harvesting in Wireless Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00