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Energy-Efficient Element Selection in RIS-Assisted Backscatter Communication Systems
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DOI：10.1049/cmu2.70161.png)
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Abstract
En 中文
Reconfigurable intelligent surfaces (RIS) and ambient backscatter communication (AmBC) systems offer complementary advantages for achieving sustainable and energy-efficient connectivity in Internet-of-Things (IoT) networks. However, as the number of RIS elements increases, per-element circuit power, control signalling, and channel estimation overhead can diminish the expected energy gains if all elements remain active. To address this issue, we design an energy-efficient element selection strategy for an RIS-assisted ambient backscatter systems, wherein only a subset of RIS elements is activated to meet the dual requirement of energy harvesting of passive tags and signal-to-interference-plus noise ratio (SINR) at the reader. A low-complexity greedy RIS selection and activation algorithm is proposed to iteratively activate the RIS elements that yield the largest joint improvement in energy harvesting and SINR. The algorithm is analyzed in terms of complexity and control overhead, and its performance is validated using computer simulations. Results demonstrate that the proposed greedy strategy achieves up to 50% reduction in total system power consumption compared with a fully activated RIS at around 20 dBm transmit power.
Keywords:
ambient backscatter communication
element selection
energy efficiency
greedy algorithm
reconfigurable intelligent surfaces