Multi-Dimensional Sparse-Coded Ambient Backscatter Communication for Massive IoT Networks

Tae Yeong Kim and Dong In Kim
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Tae Yeong Kim: School of Information and Communication Engineering, Sungkyunkwan University, Suwon 440-746, Korea
Dong In Kim: School of Information and Communication Engineering, Sungkyunkwan University, Suwon 440-746, Korea

Energies, 2018, vol. 11, issue 10, 1-23

Abstract: In this paper, we propose a multi-dimensional sparse-coded ambient backscatter communication (MSC-AmBC) system for long-range and high-rate massive Internet of things (IoT) networks. We utilize the characteristics of the ambient sources employing orthogonal frequency division multiplexing (OFDM) modulation to mitigate strong direct-link interference and improve signal detection of AmBC at the reader. Also, utilization of the sparsity originated from the duty-cycling operation of batteryless RF tags is proposed to increase the dimension of signal space of backscatter signals to achieve either diversity or multiplexing gains in AmBC. We propose optimal constellation mapping and reflection coefficient projection and expansion methods to effectively construct multi-dimensional constellation for high-order backscatter modulation while guaranteeing sufficient energy harvesting opportunities at these tags. Simulation results confirm the feasibility of the long-range and high-rate AmBC in massive IoT networks where a huge number of active ambient sources and passive RF tags coexist.

Keywords: RF energy harvesting; ambient backscatter communication (AmBC); sparse code multiple access (SCMA); modulation and coding scheme; iterative decoder (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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