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In this paper, we investigate optimal scheme to manage time scheduling ofdifferent modules including spectrum sensing, radio frequency (RF) energyharvesting (RFH) and ambient backscatter communication (ABCom) by maximizingdata transmission rate in the internet of things (IoT). We first consider usingspectrum sensing with energy detection techniques to detect high power ambientRF signals, and then performing RFH and ABCom with them. Specifically, toimprove the spectrum sensing efficiency, compressive sensing is used to detectthe wideband RF singals. We propose a joint optimization problem of optimizingtime scheduling parameter and power allocation ratio, where power allocationratio appears because REH and ABCom work at the same time. In addition, amethod to find the threshold of spectrum sensing for backscatter communicationby analyzing the outage probability of backscatter communication is proposed.Numerical results demonstrate that the optimal schemes with spectrum sensingare achieved with larger transmission rates. Compressive sensing based methodis confirmed to be more efficient, and that the superiorities become moreobvious with the increasing of the network operation time. Moreover, theoptimal scheduling parameters and power allocation ratios are obtained. Also,simulations illustrate that the threshold of spectrum sensing for backscattercommunication is obtained by analyzing the outage probability of backscattercommunication.

Optimal Time Scheduling Scheme for Wireless Powered Ambient Backscatter Communication in IoT Network