Nonlinear Signal Processing for 6G Systems and Beyond

Nonlinear Signal Processing for 6G Systems and Beyond provides a unified, systems-level perspective on next-generation physical layer (PHY) processing approaches for future, nonorthogonal wireless networks capable of simultaneously supporting a large number of information streams and users within the same spectrum. This guide explains precisely how advanced nonlinear processing methods can reshape multiple-input multiple-output (MIMO) and nonorthogonal multiple access (NOMA) performance, unlock higher-capacity 6G-and-beyond architectures, and overcome the fundamental limitations of linear techniques in dense, traffic-intensive environments. It establishes the technical foundation required for designing systems that meet future connectivity demands.

The book progresses step-by-step from understanding the limitations of linear signal processing to recognising how nonlinear detection, vector precoding, and massively parallel algorithms can fundamentally influence how future wireless networks are architected. The analysis highlights how channel behaviour, spatial structure, and interference patterns shape system limits, and details how nonlinear signal processing opens new pathways for gains in throughput, latency, and power efficiency. Dedicated sections explore massively parallel architectures and structured search strategies, demonstrating how these techniques translate into practical designs suitable for large-scale deployment.

This authoritative resource equips wireless engineers, PHY-layer designers, telecom R&D teams, and advanced students with the implementation-focused knowledge needed to develop cutting-edge communication systems. Readers gain the tools to design PHY-layer solutions that scale effectively with dense deployments and heavy traffic loads, ensuring first-pass success in future wireless connectivity. The book delivers fast, practical guidance for meeting the emerging performance demands of next-generation wireless communications.