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This book provides a comprehensive exploration of Non-Orthogonal Multiple Access (NOMA) in Heterogeneous Cellular Networks (HCNs), focusing on both theoretical foundations and practical considerations. It examines critical challenges such as non-linear high-power amplifiers (HPAs), and imperfections in successive interference cancellation (SIC). Furthermore, it presents advanced techniques including simultaneous wireless information and power transfer (SWIPT) with cooperative NOMA and the application of reconfigurable intelligent surfaces (RIS) for enhancing coverage, reliability, and energy efficiency.
The authors also explore advanced research directions, including SWIPT-enabled cooperation, RIS-assisted performance analysis, and NOMA resilience under impairments suck as impulsive noise. Each chapter combines mathematical models, performance analysis, and design insights to provide a structured understanding of NOMA’s role in enabling efficient and reliable communication in next-generation networks.
The primary audience for this book includes professionals in both industry and academia, who seek to apply advanced NOMA technologies to improve the performance and efficiency of HCN. As a secondary audience, graduate students in computer science, electrical engineering, and related disciplines will also gain both foundational knowledge and exposure to emerging research problems in this rapidly evolving field.
The authors also explore advanced research directions, including SWIPT-enabled cooperation, RIS-assisted performance analysis, and NOMA resilience under impairments suck as impulsive noise. Each chapter combines mathematical models, performance analysis, and design insights to provide a structured understanding of NOMA’s role in enabling efficient and reliable communication in next-generation networks.
The primary audience for this book includes professionals in both industry and academia, who seek to apply advanced NOMA technologies to improve the performance and efficiency of HCN. As a secondary audience, graduate students in computer science, electrical engineering, and related disciplines will also gain both foundational knowledge and exposure to emerging research problems in this rapidly evolving field.
