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Nonlinear Signal Processing for 6G Systems and Beyond
Brief Description
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...
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Nonlinear Signal Processing for 6G Systems and Beyond
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A unified, systems-level perspective on next-generation physical layer processing approaches for future, nonorthogonal wireless networks capable of simultaneously supporting a number of information streams and users within the same spectrum.
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Description
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.
Book Details
INFORMATION
ISBN: 9781630819972
Publisher: Artech House Publishers
Format: Hardback
Date Published: 18 March 2026
Imprint: Artech House Publishers
Contributors:
- Screenplay by Juan Carlos de Luna Ducoing
- With Chathura Jayawardena
Audience: General / adult
DIMENSIONS
Spine width: 14.0mm
Width: 162.0mm
Height: 238.0mm
Weight: 399g
Pages: 410
About the Author
"Prof. Konstantinos Nikitopoulos is a Professor of Wireless Communications and Signal Processing with recognized expertise in advanced MIMO systems and non-linear signal processing. He is the principal inventor of the award-winning NL-COMM technology and holds multiple patents in the field. His research spans signal processing, computing architectures, and system-level wireless design, earning him multiple awards including the UK "Future Networks Award" from the Department for Science, Innovation and Technology and the UK Telecoms Innovation Network. Prof. Nikitopoulos has held academic and research positions at the University of Surrey, University College London, the University of California, Irvine, and RWTH Aachen University. Dr. Chathura Jayawardena is a researcher specializing in advanced non-linear transceiver processing for wireless communications. His work focuses on translating the theoretical gains of MIMO and other non-orthogonal transmissions into practical applications, including algorithm development and real-time demonstrations using software-defined radios. He has contributed to numerous government- and industry-funded projects in 5G, MIMO, and Open RAN technologies and completed both his PhD and MSc in Mobile Communication Systems at the University of Surrey. Dr. J. C. De Luna Ducoing is a wireless communications researcher with expertise in algorithm design and signal processing for large-scale MIMO systems in 5G and 6G networks. His research explores the application of emerging computing paradigms, including machine learning, quantum, and neuromorphic computing, to future wireless systems. With experience spanning both academia and industry, he has contributed to the development and evaluation of advanced wireless algorithms, including those featured in this book. He earned his PhD in Wireless Communications from the University of Surrey."
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