http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Recent advances in information, communications and signal processing
1 online resource (220 pages) : illustrations
Research in information, communications and signal processing has brought about new services, applications and functions in a large number of fields which include consumer electronics, biomedical devices and defence. This volume aims to give students, researchers, and engineers information pertaining to recent advances in these fields. Research in information, communications and signal processing has brought about new services, applications and functions in a large number of fields which include consumer electronics, biomedical devices and defense. These applications play an important role in advancing technologies to enhance human life in general. Recent Advances in Information, Communications and Signal Processing provides students, researchers, and engineers information pertaining to recent advances in these fields. In terms of research in signal processing topics, the two chapters included in this book have an emphasis on advances in algorithmic development in the biomedical, and human-computer interfaces domain areas. More specifically, the use of deep learning for placental maturity staging is discussed as well as the use of vibration analysis for localizing impacts on surfaces for human-computer applications. In terms of communications signal processing, advances in new wireless communication such as NOMA (non-orthogonal multiple access) and millimeter-wave antenna design for 5G cellular mobile radio, as well as innovations in LDPC (low density parity check code) decoding and networking coding, are featured. Topics include: signal processing, deep neural networks, source localization, mechanical vibration analysis, non-orthogonal multiple access, millimeter-wave communication, low density parity check code, and network coding.
Preface; Chapter 1 -- Non-orthogonal Multiple Access: Recent Developments and Future Trends; 1.1 Introduction; 1.2 Classification of NOMA Schemes; 1.2.1 NOMA via Code Domain Multiplexing; 1.2.1.1 Low density spreading CDMA; 1.2.1.2 Low density spreading OFDM.
1.2.1.3 Sparse code multiple access1.2.1.4 Multi-user shared access; 1.2.1.5 Interleave-division multiple access; 1.2.2 NOMA via Power Domain Multiplexing; 1.3 NOMA; 1.3.1 Basic Principle; 1.3.2 NOMA Transmitter and Receiver Architectures; 1.3.3 Motivations to Adopt NOMA as MA Scheme for 5G; 1.4 Review of Some Recent Developments for NOMA; 1.4.1 Throughput and Outage Analysis; 1.4.2 Power Allocation and User Grouping; 1.4.3 Fairness in NOMA; 1.4.4 MIMO NOMA; 1.4.5 Massive MIMO NOMA; 1.4.6 Cooperation in NOMA; 1.4.7 NOMA for Relaying Networks.
1.4.8 NOMA and Simultaneous Wireless Information and Power Transfer1.5 Performance-limiting Factors for Existing NOMA; 1.5.1 Proposed PIC-based Receiver Structure; 1.5.2 Performance Comparison; 1.6 Future Research Direction; 1.6.1 Modulation and Coding Scheme; 1.6.2 Hybrid MA; 1.6.3 Imperfect CSI; 1.6.4 Cross Layer Optimization; 1.6.5 HARQ Design for NOMA; 1.6.6 Massive MIMO NOMA; 1.6.7 Full Duplex NOMA; 1.7 Conclusion; References; Chapter 2 -- Beam Steering MIMO Antenna for Mobile Phone of 5G Cellular Communications Operating at MM-Wave Frequencies: Design; 2.1 Introduction.
2.2 The 5th-Generation Cellular Mobile Communications2.2.1 Design Issues at Base Station for 5G Cellular Mobile Communication System; 2.2.2 Design Issues at User Equipment for 5G Cellular Mobile Communication System; 2.2.3 Applications and Techniques Supported by 5G Technology; 2.3 Proposed Antenna: Design and Analysis; 2.3.1 Proposed MIMO Antenna Model #1; 2.3.2 Proposed MIMO Antenna Model #2; 2.3.3 Proposed MIMO Antenna Model #3; 2.4 Conclusion; Acknowledgments; References; Chapter 3 -- Random Linear Network Coding with Source Precoding for Multi-session Networks; 3.1 Introduction.
3.2 Network Model with RLNC3.3 Precoder Design and Achievable Rate Region for Double-Unicast Networks; 3.3.1 An Optimal Achievable Rate Region with RLNC; 3.3.2 A Linear Capacity-achieving Scheme; 3.3.3 An Achievable Region in Terms of Min-cuts; 3.3.4 Joint Routing and RLNC; 3.4 Asymptotic Capacity-achieving for Multi-source Erasure Networks; 3.4.1 The Capacity Region; 3.4.2 Asymptotical Capacity-achieving with RLNC; 3.4.2.1 Time-extended networks; 3.4.2.2 Linear finite-field MAC; 3.4.3 Multi-source Erasure Network with Broadcast Channels; 3.4.4 General Model for Wireless Erasure Networks.
editors Andy W.H. Khong, Yong Liang Guan.
Includes bibliographical references and index
River Publishers series in signal, image and speech processing