Multi-Functional Reconfigurable Intelligent Surfaces for 6G

Multi-functional RIS architectures and algorithms for next-generation 6G networks Existing reconfigurable intelligent surface literature focuses predominantly on single-functional architectures limited to signal reflection alone. Multi-Functional Reconfigurable Intelligent Surfaces for 6G: RIS 2.0 Architectures, Algorithms, and Applications advances the field by presenting MF-RIS, a multi-functional architecture capable of simultaneous signal reflection, refraction, amplification, energy harvesting, and target sensing within unified hardware designs for 6G wireless networks. The book covers coefficient and channel models for MF-RIS configurations, beamforming techniques under non-ideal conditions, and simulations validating performance. Specific categories examined include omni-amplifying, self-sustainable, and target-sensing architectures. Chapters connect MF-RIS with federated learning, semantic communication, and AI-driven metasurface design, while addressing standardization pathways and health and safety compliance. Readers will also find: Hardware architecture details for multi-functional RIS elements supporting multiple simultaneous operations beyond conventional single-functional reflective surfacesBeamforming algorithm design addressing practical non-ideal deployment conditions encountered in real-world wireless communication system implementationsIntegration frameworks connecting MF-RIS with federated learning and semantic communication paradigms for intelligent network optimizationEconomic feasibility analysis and standardization considerations guiding practical deployment decisions for MF-RIS in commercial 6G networksPractical simulation examples demonstrating MF-RIS performance gains across diverse wireless communication scenarios and network configurationsDesigned for telecommunications researchers, engineers developing 6G network infrastructure, and graduate students studying advanced wireless communication systems, this book provides the architectural foundations, algorithmic frameworks, and application-level analysis needed to design and deploy multi-functional reconfigurable intelligent surfaces in next-generation networks.