Enhancing Modulation Scheme with Efficient Decomposition Algorithm for Future SDR-Based Communication Systems

The modulation technique is essential in current and future communication systems because of its superior spectrum utilization and ability to withstand the challenges of multipath fading. However, further fine-tuning of communication schemes is imperative to address the increasing requirements of next-generation networks, such as elevated data rates, decreased latency, and enhanced dependability. In this work, Schur decomposition is employed to enhance the efficacy of the communication system and also to enhance the stability and numerical efficiency of channel estimation, while methods like singular value decomposition (SVD) are utilized to refine signal processing by disentangling channels and maximizing data throughput. These techniques enable more efficient allocation of resources, reduced computational complexity, and improved signal retrieval, ultimately resulting in diminished latency and heightened energy efficiency. The proposed model illustrates the integration of Schur decomposition into software-defined radio (SDR) based communication systems significantly elevates performance, positioning this modulation technique as a more feasible solution for 5G, 6G, and future communication standards.