An optimal algorithm for energy harvesting in optical networks

Abstract

Optical fiber cables, which make up the majority of the world's telecommunications infrastructure, now carry the vast majority of digital data. However, because to the Internet's exponential expansion and a slew of bandwidth-hungry new services like online gaming, 3D or high-definition television, and cloud computing, this infrastructure will soon run out of capacity. The growing need for faster transmission speeds by clients has led to the development of heterogeneous optical networks. High throughput, portability, and future information interconnects may all be accommodated by such a system. Delivering such high-capacity connections to a mobile client should need heterogeneous optical networks. Different multiple access user technologies have been suggested to meet the needs of a group of future heterogeneous optical network users. In order to address the high energy consumption, poor QoS and low resource utilization in cloud radio access network, this paper proposed a novel algorithm. The main idea is to allocate virtual resources with energy-awareness and hybrid energy supply. Then, the energy arrival and consumption models were established based on different network devices. Simulation results show that the proposed algorithm effectively improved the energy consumption performance and QoS as compared with existing methods.