Abstract-This article studies a wireless powered sensor network (WPSN), where sensors harvest energy from a hybrid access point (H-AP) and then transmit information to the H-AP via nonorthogonal multiple access (NOMA) scheme. The energy efficiency (EE) maximization problem for the NOMA-based WPSN is, for the first time, formulated as a nonlinear fractional programming, which is difficult to solve for global optimality due to the lack of convexity. To this end, we propose two important properties for the optimal solution to the EE maximization problem, based on which a particle-swarmoptimization-based solution algorithm is proposed. Simulations demonstrate the fast convergence and stability of the proposed algorithm. Index Terms-Sensor networks, wireless powered sensor networks, non-orthogonal multiple access, energy efficiency, particle swarm optimization.
Song and Zheng REF also studied a WPSN, where SNs collect energy from an access point (AP) and then use the collected energy to transmit information to the AP by applying the NOMA technique.
Energy Efficiency Optimization For Wireless Powered Sensor Networks With Nonorthogonal Multiple Access
IEEE Sensors Letters
IEEE Sensors Letters
Engineering