" 6G Wireless Communication: Advancements in Signal Processing and AI Integration."
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Abstract
The evolution of wireless communication has reached a critical juncture with the emergence of Sixth Generation (6G) networks, poised to redefine connectivity by integrating advanced signal processing techniques and artificial intelligence (AI). This paper explores the fundamental advancements driving 6G, focusing on the role of AI in optimizing signal processing, network efficiency, and resource allocation. Key enablers include terahertz (THz) communication, massive multiple-input multiple-output (MIMO) systems, reconfigurable intelligent surfaces (RIS), and quantum-enhanced communication. These technologies demand sophisticated signal processing techniques for effective channel estimation, interference mitigation, and spectral efficiency. AI-driven approaches, such as deep learning and reinforcement learning, are revolutionizing signal processing by enabling real-time decision-making, predictive analytics, and intelligent network management.