Reconfigurable Computing with FPGA for Adaptive Signal Processing in Communication Systems
V. Bhoopathy, Guntu Nooka Raju · 2025
The rapid advancement of communication technologies has imposed stringent demands on system flexibility, adaptability, and energy efficiency, particularly in environments requiring realtime signal processing. Field-Programmable Gate Arrays (FPGAs) have emerged as a dominant platform in reconfigurable computing due to their inherent parallelism, deterministic execution, and support for dynamic hardware customization. This chapter explores the architectural and design principles underpinning FPGA-based implementations of adaptive signal processing in modern communication systems. It presents a detailed examination of FPGA fundamentals, design flow, simulation and verification processes, and reconfiguration strategies essential for runtime adaptability. Emphasis is placed on power-aware techniques, clock-gated architectures, and the integration of FPGAs with heterogeneous processing units such as ARM cores, which collectively enhance performance and system scalability. The challenges related to real-time partial reconfiguration, bitstream management, and timing closure are critically analyzed to guide the development of robust and efficient FPGA systems. By consolidating emerging methodologies, programming models, and optimization frameworks, this chapter provides a comprehensive roadmap for the deployment of high-performance adaptive signal processing systems in nextgeneration communication networks.