Preamble Detection

Preamble detection, crucial for establishing communication in wireless networks, aims to reliably identify unique signaling sequences (preambles) amidst noise and interference. Current research focuses on improving detection accuracy and efficiency, particularly in high-density environments, employing techniques like advanced signal processing (e.g., modified Hadamard transforms) and machine learning (e.g., fusion networks). These advancements are vital for enabling reliable communication in next-generation networks supporting massive device connectivity, such as the Internet of Everything, and improving overall network throughput and performance.