Backscatter-Assisted Wireless Powered Communication Networks Empowered by Intelligent Reflecting Surface

Intelligent reflecting surface (IRS) has recently been emerged as an effective way for improving the performance of wireless networks by reconfiguring propagation environment through a large number passive elements. This game-changing technology is especially important stepping into Internet Everything (IoE) era, where high demanded with very limited available resources. In this paper, we study backscatter-assisted powered communication network (BS-WPCN), in which energy-constrained users, power station (PS), transmit information to access point (AP) via backscatter and active transfer, their being aided IRS. Using practical energy harvesting (EH) model able capture characteristics realistic harvesters, investigate maximization total throughput. Specifically, IRS reflection coefficients, PS AP receive beamforming vectors, time allocation are designed two-stage algorithm, assuming minimum mean square error (MMSE) receiver at AP. The effectiveness proposed algorithm confirmed extensive numerical simulations. We also show that our scheme readily applicable IRS-aided discrete phase shift values.