A review on unlocking performance insights for next generation connectivity with AI in 6G communication

Abstract

The rapid expansion of 6G communication networks provides a disruptive potential to address the increasing need for ultra-fast, protected, and reliable connectivity. This review study critically explores three essential domains: Privacy and security, throughput and efficiency, and latency and signal-to-noise ratio (SNR) that are fundamental to the success of 6G systems. The interrelated structure for 6G, combined with the growth of IoT devices also decentralized architectures, raises the risk of data breaches along with network vulnerabilities, necessitating the development of AI-powered privacy-preserving frameworks and adaptive security mechanisms. Furthermore, with 6G's promise of unprecedented throughput, this paper explores the role of intelligent spectrum management and resource allocation techniques to optimize bandwidth utilization and ensure high-efficiency transmission in dynamic network environments. Furthermore, obtaining ultra-low latency and maintaining a high SNR is critical for live applications like self-navigating devices and immersive technologies, where any delay or signal loss can have a major impact on performance. This review highlights existing research gaps in these areas and presents a comprehensive analysis of AI-driven solutions, setting a pathway for future advancements in scalable, high-throughput, and low-latency 6G architectures.