Resource allocation algorithm for IoT communication based on ambient backscatter

As an important part of the future network, Internet of Things (IoT) is becoming more and more heterogeneous, requiring high efficiency and new spectrum wireless communication technology. Symbiosis Radio (SR) has been developed, which uses cognitive radio and ambient backscattering communication technology to achieve spectrum sharing and highly reliable communication. This paper proposed an architecture model of multi-hop IoT communication system and designed a fusion algorithm based on wireless information and energy harvesting. Among them, the source and the receiving information node were equipped with multiple antennas, while the relay node and the energy harvesting node were single antennas. For the future large-scale transmission model, the relay node adopted the power splitting method to realize information transmission and energy harvesting. The high Signal to noise ratio (SNR) approximation method was used to realize the non-convex to convex conversion. Lagrange algorithm and Lambert W function are utilized to derive and obtain the transmission power of the optimal solution, so that the energy efficiency of the system can reach the optimal. The simulation results show that the scheme achieve obvious energy saving effect.