Optimization of Relaying Wireless Sensor Network With RF Energy Harvesting

In this paper, we optimize relay power allocation ratio to improve the transmission rates of the simultaneous wireless information and power transfer (SWIPT) networks. The decode-and-forward (DF) relay strategy is first adopted in the relay interference channels (IFC) when the single source communicates with destination nodes through dedicated EH relays. Then a successive convex approximation (SCA) algorithm is introduced to transform the original NP-hard problem into a concave optimization problem in order to guarantee the normal operation of all EH relays, maximize the data transmission rates and improve the communication quality of the whole network. Finally, the Lagrangian multiplier method based on the Karush-Kuhn-Tucker(KKT) condition is applied to achieve the optimal power allocation for each relay. Numerical results demonstrate that the proposed algorithm can improve the transmission rates, has a fast convergence and high accuracy.