Zhijin Qin

This book discusses the evolving designs and applications of multimedia content delivery and focuses on computing-based methods. It offers readers an in-depth understanding of how computational resources at both the source and the destination of the networking continuum can be exploited. This enhances the overall performance of multimedia data networking. This book also presents novel designs and applications focusing on information delivery based on computing. It starts with an overview of the multimedia computational communications as well as spanning topics. The topics range in experience evaluation using electroencephalography, semantic knowledge bases with the next generation of multiple access, end-to-end semantic communication framework and cloud-edge-end intelligent coordination computing. The authors believe this book offers readers a clear picture of the current state and the next steps in multimedia computational communication networks. Graduate students majoring in the areas of communication networks, computer science and engineering and electrical engineering will find this book useful as a secondary text or reference book. Professionals and researchers working in computational transmission solutions for multimedia communication networks will find this book to be a valuable resource as well.

This book discusses the evolving designs and applications of multimedia content delivery and focuses on computing-based methods. It offers readers an in-depth understanding of how computational resources at both the source and the destination of the networking continuum can be exploited. This enhances the overall performance of multimedia data networking. This book also presents novel designs and applications focusing on information delivery based on computing. It starts with an overview of the multimedia computational communications as well as spanning topics. The topics range in experience evaluation using electroencephalography, semantic knowledge bases with the next generation of multiple access, end-to-end semantic communication framework and cloud-edge-end intelligent coordination computing. The authors believe this book offers readers a clear picture of the current state and the next steps in multimedia computational communication networks. Graduate students majoring in the areas of communication networks, computer science and engineering and electrical engineering will find this book useful as a secondary text or reference book. Professionals and researchers working in computational transmission solutions for multimedia communication networks will find this book to be a valuable resource as well.

This book discusses non-orthogonal multiple access (NOMA) and the various issues in NOMA networks, including capability, sustainability, and security. This book starts from the basics and key techniques of NOMA. Subsequently, the authors discuss three critical issues in NOMA networks, including compatibility, sustainability, and security. Particularly, the authors first demonstrate the applications of NOMA in different networks including MIMO-NOMA, NOMA in heterogeneous networks, and NOMA in cognitive radio networks to show the compatibility of NOMA with various networks. Then the wireless powered NOMA networks are presented to address the sustainability issues in NOMA networks to extend the network reliability and lifetime. The security enhanced NOMA networks are discussed for single antenna case and multiple antenna case, respectively. Finally, the most recent developments on artificial intelligence (AI) enabled NOMA networks are discussed and the research challenges on NOMA to support massive number of devices are identified.

This SpringerBrief discusses the applications of spare representation in wireless communications, with a particular focus on the most recent developed compressive sensing (CS) enabled approaches. With the help of sparsity property, sub-Nyquist sampling can be achieved in wideband cognitive radio networks by adopting compressive sensing, which is illustrated in this brief, and it starts with a comprehensive overview of compressive sensing principles. Subsequently, the authors present a complete framework for data-driven compressive spectrum sensing in cognitive radio networks, which guarantees robustness, low-complexity, and security. Particularly, robust compressive spectrum sensing, low-complexity compressive spectrum sensing, and secure compressive sensing based malicious user detection are proposed to address the various issues in wideband cognitive radio networks. Correspondingly, the real-world signals and data collected by experiments carried out during TV white space pilot trial enables data-driven compressive spectrum sensing. The collected data are analysed and used to verify our designs and provide significant insights on the potential of applying compressive sensing to wideband spectrum sensing. This SpringerBrief provides readers a clear picture on how to exploit the compressive sensing to process wireless signals in wideband cognitive radio networks. Students, professors, researchers, scientists, practitioners, and engineers working in the fields of compressive sensing in wireless communications will find this SpringerBrief very useful as a short reference or study guide book. Industry managers, and government research agency employees also working in the fields of compressive sensing in wireless communications will find this SpringerBrief useful as well.