Abstract
Ambient backscatter communication (AmBc) has been recently transpired as a promising communication methodology for battery-free internet of things (IoT)-based applications. This paper investigates an AmBc system with a mobile ambient radio-frequency (RF) source such as mobile wireless fidelity (Wi-Fi) access point. Mobility of the source causes the channels between source to tag and source to the reader to experience time-selective fading. This dynamic nature of channels is modeled using a first-order autoregressive (AR-1) process. The closed-form expressions for the bit-error-rate (BER) and thresholds are obtained for maximum-likelihood (ML) and energy detector (ED) with imperfect channel state information (CSI) at the reader. Further, the closed-form expressions for outage probability and channel capacity are also obtained. It is found that the overall system performance worsens with increase in mobility of the nodes. The results are validated using Monte-Carlo (MC) simulations.
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