A Novel Adaptive Modulation Algorithm For Backscatter Communication in IoT

Nowadays, backscatter modulation gets more and more concern in IoT field, mostly because of its ultra-low power character. However, it also faces serious problems. This prominently manifests that the traditional backscatter modulation lacks enough flexibility and ability to adapt to the environment, especially the varying channel condition. For this reason, we design a novel adaptive modulation algorithm for backscatter communication. The main idea is that transmitter could flexibly select modulation algorithm from a set before sending data, based on its perception of the physical channel. We also simulate our algorithm and analyze its performance. We find that: (1) While the emitted power of RF Transmitter is very low, our algorithm has smaller BER than traditional ASK-based backscatter modulation. (2) While the emitted power of RF Transmitter increases to high value, our algorithm has faster bit rate than traditional ASK-based backscatter modulation.