COGNITIVE ENERGY HARVESTING SYSTEM UNDER FINITE BATTERY CONSTRAINTS

Abstract

Wireless energy harvesting is regarded as a promising energy supply alternative for energy-constrained wireless networks. In this system, the secondary nodes can harvest energy from the primary network (PN) while sharing the licensed spectrum of the PN. A novel idea of implementing energy harvesting in non-relay assisted cognitive radio network under finite battery power is presented where supercapacitors are used as energy storage elements in the secondary network (SN). The performance of the network can be described using following performance metrics: i. Outage Probability ii. Throughput iii. Channel capacity Variation of performance metrics upon variation in Interference power, total input transmit power, system parameters (e.g., EH interval, conversion efficiency) is studied. Variation in instantaneous power in the battery during the transmission is also studied. The simulation of the results is carried out using MATLAB.