Efficient Approach for Resource Allocation in WPCN Using Hybrid Optimization

The recent aggrandizement of radio frequency (RF) signals in wireless power transmission combined with energy harvesting methods have led to the replacement traditional battery-powered networks since blooming RF technology provides renewal devices quality service (QoS). In addition, it does not require any unnecessary alterations on hardware side. A hybridized global optimization technique uniting Global best and Local (GL) based particle swarm (PSO) ant colony (ACO) is proposed this paper optimally allocate resources powered communication (WPCN) through coordinated operation groups, which transfer information sharing take place concomitantly by aid a cooperative relay positioned between communicating groups. designed algorithm assists minimizing consumption maximizes weighted sum rate at end-user Thus principal target system beamforming along time allocation reduce total consumed assured rates Numerical outputs are presented manifest system's performance verify analytical results via simulations.