Low-power packet sparse symbol coding for backscatter communication systems

The backscatter communication technology has opened the door for the development of passive IoT terminals. However, the energy constraints in passive terminal nodes limit the use of complex algorithms. A crucial issue is how to apply lightweight and low-complexity encoding techniques to enhance system reliability. This paper addresses this problem by designing a low-power packet sparse symbol encoding scheme, based on the fundamentals of backscatter communication. The proposed method focuses on reducing computational complexity and the frequency of symbol flips. It achieves this by grouping symbols into 8-bit packets and modifying the original sequence by inserting identical symbols, resulting in a 25-bit sparse symbol structure that reduces symbol flipping and incorporates error detection capabilities, Compared with traditional channel coding, the frequency of symbol flipping per bit can be reduced by more than half.

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Published
2024-11-01
DOI
https://doi.org/10.1109/icei63732.2024.10917253
Primary Topic
Energy Harvesting in Wireless Networks
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article
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article

Low-power packet sparse symbol coding for backscatter communication systems

Yue Ge, Sheng Wang, Shengli Zhang
Energy Harvesting in Wireless Networks
article

Low-power packet sparse symbol coding for backscatter communication systems

Yue Ge, Sheng Wang, Shengli Zhang
article en

Abstract

The backscatter communication technology has opened the door for the development of passive IoT terminals. However, the energy constraints in passive terminal nodes limit the use of complex algorithms. A crucial issue is how to apply lightweight and low-complexity encoding techniques to enhance system reliability. This paper addresses this problem by designing a low-power packet sparse symbol encoding scheme, based on the fundamentals of backscatter communication. The proposed method focuses on reducing computational complexity and the frequency of symbol flips. It achieves this by grouping symbols into 8-bit packets and modifying the original sequence by inserting identical symbols, resulting in a 25-bit sparse symbol structure that reduces symbol flipping and incorporates error detection capabilities, Compared with traditional channel coding, the frequency of symbol flipping per bit can be reduced by more than half.

Fujian Electric Power Survey & Design Institute (CN)
Affordable and clean energy
Openalex Percentile: Top 74%
Energy Harvesting in Wireless Networks
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Low-power packet sparse symbol coding for backscatter communication systems — Yue Ge, Sheng Wang, et al. · (2024) | TGRS Research Map | TGRS