Design and Implementation of FIR Filter for 5G OFDM Communication

The advent of fifth-generation (5G) wireless communication technology marks a transformative era characterized by unprecedented demands for high data rates, low latency, and enhanced signal integrity. This thesis presents the design and implementation of a Finite Impulse Response (FIR) filter optimized specifically for Orthogonal Frequency Division Multiplexing (OFDM) systems, a core technology underpinning 5G networks. Given the susceptibility of OFDM signals to inter-symbol interference (ISI) and out-of-band emissions, the need for effective filtering solutions is paramount. This work emphasizes the role of FIR filters in mitigating such impairments while maintaining system performance within the stringent requirements of 5G. Employing hardware description languages (HDLs), the FIR filter architecture is meticulously designed and simulated, allowing for an in-depth analysis of its performance under diverse operational scenarios. Innovations in filter coefficient generation and architectural optimization are explored, resulting in a design that not only achieves improved spectral efficiency but also optimizes resource utilization and processing speed. Rigorous testing and verification demonstrate the filter's effectiveness in enhancing signal quality, reducing noise, and supporting advanced features such as massive MIMO and beamforming. The findings underscore the feasibility of deploying hardware-efficient FIR filters in next-generation communication systems, thus contributing to the realization of high- performance 5G applications. Future research directions are suggested, aiming to investigate adaptive filtering techniques and the integration of emerging technologies to further elevate performance standards in dynamic wireless environments