Abstract
This article presents an analytical model to analyze the communication performance of cluster backscatter communication networks (CBackCom Nets) by considering their unique interferences. In CBackCom Nets, interferences are from both backscatter transmitters (BTs) and carrier emitters (CEs), i.e., RF signal emitters. Because BTs are distributed in clusters around CEs, interferences from BTs and interferences from CEs constitute coupled interferences. In addition, since BTs conduct backscatter communications by reflecting RF signals from CEs, interfering signals from BTs, and interfering signals from CEs are power-correlated, leading to the particularity and complexity of coupled interferences of CBackCom Nets. In contrast to previous studies that analyze the performance of CBackCom Nets ignoring coupled interferences, this article develops a novel interference analysis approach to analyze their coupled interferences, and then analyze performance, including coverage probability and spatial throughput of a cluster. Our numerical results show that our analytical model can obtain more accurate results than prior analytical models. In addition, our results reveal the relationship between the communication performance and multiple factors, such as the node density, the energy harvesting model, the interferences from CEs, and the cluster size, offering insightful implications for constructing and configuring CBackCom Nets.
Original language | English |
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Pages (from-to) | 20282-20294 |
Number of pages | 13 |
Journal | IEEE Internet of Things Journal |
Volume | 9 |
Issue number | 20 |
Early online date | 10 May 2022 |
DOIs | |
Publication status | Published - 15 Oct 2022 |
Funding
This work was supported in part by the Natural Science Foundation of Jiangsu Province under Grant BK20210490 and Grant BK20201346; in part by the China Postdoctoral Science Foundation under Grant 2020M681765; in part by the Jiangsu Planned Projects for Postdoctoral Research Funds under Grant 2020Z178; in part by the Fundamental Research Funds for the Central Universities under Grant 2021QN1071; in part by the National Natural Science Foundation of China under Grant 61971421; in part by the National Key Research and Development Program of China under Grant 2020YFA0711400; in part by the Shenzhen Science and Innovation Fund under Grant JCYJ20180507182451820; and in part by the Australian Research Council's Project Funding Scheme under Grant LP160101244.
Keywords
- Analytical models
- Backscatter
- Backscatter communications
- Interference
- Internet of Things
- PCP
- Poisson cluster process
- RF signals
- Throughput
- Transmitters
- coupled interferences
- coverage
- stochastic geometry
- throughput.
- Poisson cluster process (PCP)
- throughput