5G Front Haul Optimization by Using Adapted OFDM and QAM
Abstract
Fifth-generation (5G) wireless technology is currently the final frontiers in mobile wireless communication systems. The vast spreading technology since beginning of 2019 is rolling out globallymainly via utilising the new architectural utilities ofthe cloud radio access networks (C-RANs). Access Networks (C-RANs) technologies provided new paradigms in communicationsthat ensuressignificant increases inthe network performance and reduce the overall energy consumption. In this work, 5Gultra small-cell wireless systemwasdesigned based on different implementation over a radios over the fiber backbone. The radio-over-fiber (RoF) simplifies the 5G system complexity, provides high capacity, and reduces the operational costs. For these reasons, this research will comprehensively provide improvement of data rate over the 5G fronthaul using Orthogonal Frequency Division Multiplexing (OFDM) and direct detection for the optimal C-RANsfronthaul. The Quadrature Amplitude Modulation (QAM) was used to achieve efficient data rate, low Bit_Error_Rate (B.E.R.), and improved versions. The system model and the results were obtained by using OptiSystem simulation program.