Cognitive backscatter metasurface

We study a novel spectrum-sharing paradigm for multicarrier cognitive radio (CR) networks, where the conventional primary system employs an orthogonal frequency-division multiplexing (OFDM) modulation scheme, whereas the secondary system is represented by an Internet of Things (IoT) metasurface that concurrently transmits data to a secondary receiver by joint reflecting and modulating the primary signal at the symbol rate of the OFDM modulator. We argue that the IoT metasurface can maintain or even improve the performance of the primary system, while extracting multiplexing gains from the secondary channel. Monte Carlo simulations illustrate the merits of our designs, by highlighting interesting tradeoffs between the main parameters of the considered CR network.