Performance Analysis under Signal Jammer in Relay Aided Ambient Backscatter Cognitive Radio Networks

In this study, the first system model with a single IoT (Internet of Things), one relay user and the second system model with two IoT, two relay users are proposed. Both systems are considered as a cognitive radio based ambient backscatter network model, allowing users to harvest energy with the signal emitted by the power station. It is assumed that the jammer in the network deteriorates the quality of the signal reaching the receiver. The IoT device both performs active transmission using the energy it harvests and transmits data to the information receiver via backscatter. The relay user, decodes the information scattered by the IoT device and then forwards it to the receiver. In this collaborative structure, how long the IoT device will backscatter, harvest energy and actively transmit data is presented as a problem. Our goal is to maximize the number of bits reaching the information receiver. After finding the system variables through numerical analysis, the total number of bits reaching the receiver was obtained. In the results discussed, in addition to comparing both models with each other, it is considered as a benchmark in different scenarios. The results show that the increase in the number of relays and IoT clearly improves the performance.