Energy Scheduling And Remote Radio Frequency Unit Selection Of Distributed Base-Station System Based On Energy Harvesting

With the rapid increase in wireless communication traffic,the issue of energy shortage is becoming increasingly severe.How to utilize limited energy resources to achieve reliable communication quality has gradually become a key issue in the development of future wireless communication networks.The energy harvesting technology,through collecting solar energy,wind energy,radio frequency energy,etc.,makes the sustainable self-power supply of wireless communication systems possible,alleviating the energy consumption pressure of wireless networks.In addition,the distributed base-station system can improve communication performance such as coverage area and transmission capacity of wireless networks by deploying remote radio frequency units,which is an important direction for the future development of wireless communication networks and a key technology for B5 G and6G.Therefore,the energy harvesting distributed base-station system(EH-DBS)that combines energy harvesting technology with distributed base-station system has great prospects.In this paper,the self-sustaining energy harvesting distributed base-station system is established,which does not rely on the power grid or other forms of external energy.The system consists of a baseband processing subsystem,an energy subsystem,and a remote radio frequency subsystem.The power allocation and remote radio frequency unit(RRFU)selection algorithms for the self-sustained energy harvesting distributed base-station system are studied in both regular communication scenarios and physical layer security communication scenarios,as follows:(1)Based on the regular scenario,the system model of self-sustained energy harvesting distributed base-station system is established.A joint optimization problem of coverage beamforming,energy sharing,and power allocation is formulated with the objective of maximizing the information transmission rate.Considering the uncontrollable energy harvesting situation,energy partial sharing or complete energy sharing strategies are proposed.Mathematical analysis is conducted,and the optimal power allocation strategy for the remote radio frequency subsystem is derived under the system model,leading to the remote radio frequency unit selection algorithm for the downlink.Finally,Monte Carlo simulations are conducted based on the proposed model and algorithm,and the results are compared with existing algorithms in the literature.The simulation results show that the proposed algorithm performs well in terms of average channel capacity and average energy efficiency,which is significant for achieving green communications.(2)In the physical layer security communication scenario,the system model of self-sustaining energy harvesting distributed base-station system is established based on downlink the physical layer secure transmission.The remote radio frequency subsystem is divided into the security RRFUs that transmit secure signals to legitimate users,and the friendly cooperative RRFUs that transmit artificial noise to jam the eavesdropping user.Through mathematical analysis and solution,the conditions for the EH-DBS to take partial energy sharing or complete energy sharing,the optimal power allocation of RRFU in the physical layer secure communication scenario are obtained,which leads to the remote radio frequency units selection algorithm based on secure transmission in the physical layer of the downlink.Finally,the Monte Carlo simulation is carried out.The simulation results verify the validity of the model,and the simulation results show that the proposed algorithm has good performance in terms of secure information rate and secure energy efficiency.