Time- and Power-Splitting Strategies for Ambient Backscatter System

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Abstract
Ambient backscatter system could utilize the exiting ambient RF signals as both energy source and information carrier to enable the communications among battery-free devices, and is deemed as a promising communication primitive for Internet of Things (IoT). In this paper, we propose time splitting strategy (TSS) and power splitting strategy (PSS) for ambient backscatter system, where the tag-reflection coefficient is optimized according to dynamic channel variation. We also derive the analytical expressions of the outage probability and the optimal throughput for both TSS and PSS, which provides insights on the impact of system parameters, e.g., channel variance, RF source power, and circuit power consumption. Simulations showed that the proposed strategies can significantly outperform the traditional counterparts that rely on fixed reflection coefficient.
Funding Information
  • National Natural Science Foundation of China (61831013, 61771274, 61531011)
  • Natural Science Foundation of Beijing Municipality (4182030, L182042)
  • Key Laboratory of Universal Wireless Communications (BUPT), Ministry of Education, P.R.China (KFKT-2018103)

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