QuadScatter for Simultaneous Transmissions in a Large-Scale Backscatter Network

Backscatter communication is attracting attention for its ultra-low-power consumption ability. The said capability will enhance IoT which aims to enable a large number of novel applications for object-to-object communication. In such a network, where numerous tags may transmit simultaneously, it is important to make sure that the number of simultaneous transmissions allows reliable decoding operations on a large scale. Here we introduce QuadScatter, a series of algorithms that make profit of the maximum number of simultaneous backscatter transmissions to enable a network of a significant number of transmitters, tags, and readers. The maximum number of simultaneous transmissions is verified by simulations and the overall capacity of the network allows successful communications above 3dB of signal-to-noise ratio (SNR). QuadScatter shows agreeable results compared to the exhaustive search algorithm. The simulation results highlight computational time and simultaneous transmission improvements of at least 250x and 2x. Furthermore, while the exhaustive search is limited to a few nodes(< 20), our proposal uses a larger number of nodes.