A Novel Hybrid Backscatter Assisted Cognitive Radio Networks for Maximum Throughput

The research work investigates a wirelessly powered cognitive wireless communication network (CWPCN) for Internet of Things (IoT) applications that consists of a main and secondary communication system. HTT and Backscatter communication (BackCom) are two innovative methods that we propose for the secondary communications system. Cognitive users have two alternatives when a main channel is overcrowded and the information receiver is unable to receive information: backscattering or collecting energy for future information transfers. Both are possibilities. To transfer information when the main channel is inactive, CUs employ bistatic scatter (BS) and high-frequency transmission (HTT) modes. To maximize secondary communication system throughput, time allocation between AB and energy harvesting and BS and HTT is examined. We find the best closed-form solution and operating modes for a particular CU circumstance. Numerical statistics show that our hybrid HTT/BackCom mode outperforms the benchmark mode.