Harvested Energy Maximization of SWIPT System with Popularity Cache Scheme in Dense Small Cell Networks

الملخص EN

In this paper, we propose a harvested energy maximization problem of simultaneous wireless information and power transfer (SWIPT) system with popularity cache scheme in dense small cell networks.

Firstly, network model, content request, and popularity cache schemes are provided in the system model.

Then, we establish a harvested energy maximization problem of SWIPT system with popularity cache scheme in dense small cell networks, where maximum transmit power of small cell base stations (SBSs), minimum rate requirement, i.e., quality of service (QoS) of user terminals (UTs), and power splitting ratio are considered.

Further, an iterative power splitting ratio and power allocation optimization (IPSPA) algorithm is proposed to solve the formulated problem.

Finally, the better performance of our proposed method is demonstrated through a number of simulations.

These results are of significance for maximizing harvesting energy of UTs and reducing consumption of backhaul resources and energy.