WAP (wireless) technology Books

Book SynopsisWritten in an easy-to-follow, tutorial style, this complete guide will allow students to quickly understand the key principles, techniques and applications of MIMO wireless communications. Important concepts such as MIMO channel models, power allocation and channel capacity, space-time codes, MIMO detection and antenna selection are covered in detail, providing practical insights into the world of modern telecommunication systems. The most up-to-date techniques are explained, with examples including spatial modulation, MIMO-based cooperative communications, large-scale MIMO systems, massive MIMO and space-time block coded spatial modulation. Supported by numerous solved examples, review questions, MATLAB problems and lecture slides, and including all the necessary mathematical background, this is an ideal text for students taking graduate, single-semester courses in wireless communications.Table of ContentsList of tables; List of figures; Preface; 1. Introduction to MIMO systems; 2. Classical and generalized fading distributions; 3. Analytical MIMO channel model; 4. Power allocation in MIMO systems; 5. Channel capacity of simplified MIMO channels; 6. MIMO channel capacity; 7. Introduction to space-time codes; 8. Space-time block and trellis codes; 9. Introduction to MIMO detection; 10. Advanced MIMO detection techniques; 11. Antenna selection and spatial modulation; 12. Advanced topics in MIMO wireless communications; Appendix A. Matrices; Appendix B. MGF of Hermitian quadratic form in complex Gaussian variation; Appendix C. Basics of information theory; Appendix D. Basics of convolutional codes; Appendix E. Basics of turbo codes; Appendix F. Algebraic structures; Appendix G. An introduction to game theory; Index.

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Book SynopsisUnderstand the fundamental theory and practical design aspects of green and soft wireless communications networks with this expert text. It provides comprehensive and unified coverage of 5G physical layer design, as well as design of the higher and radio access layers and the core network, drawing on viewpoints from both academia and industry. Get to grips with the theory through authoritative discussion of information-theoretical results, and learn about fundamental green design trade-offs, software-defined network architectures, and energy efficient radio resource management strategies. Applications of wireless big data and artificial intelligence to wireless network design are included, providing an excellent design reference, and real-world examples of employment in software-defined 5G networks and energy saving solutions from wireless communications companies and cellular operators help to connect theory with practice. This is an essential text for graduate students, professionalsTrade Review'This volume provides the reader with an exquisite amalgam of classical and radically new wireless solutions, striking a compelling balance between the underlying theory and the associated practical issues.' Lajos Hanzo, University of Southampton'This book provides a comprehensive introduction to green and software-defined wireless networks. The authors are recognized experts in these areas, and provide theoretical foundations as well as examples of real-world applications. By connecting theory with practice, this book will be very useful for academic researchers and practicing engineers.' Leonard Cimini, University of Delaware'This book provides a comprehensive yet focused description of green and software-defined wireless networks with rich real-world examples of employment.' Zhisheng Niu, Tsinghua University, BeijingTable of ContentsPreface; 1. Introduction; 2. Theoretical framework towards green networks; 3. Green and soft network design; 4. Energy-efficient signalling design and resource management; 5. Software-defined air interface (SDAI) for a greener network; 6. Energy saving solutions and practices; Index.

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Book SynopsisUnderstand both uncoded and coded caching techniques in future wireless network design. Expert authors present new techniques that will help you to improve backhaul, load minimization, deployment cost reduction, security, energy efficiency and the quality of the user experience. Covering topics from high-level architectures to specific requirement-oriented caching design and analysis, including big-data enabled caching, caching in cloud-assisted 5G networks, and security, this is an essential resource for academic researchers, postgraduate students and engineers working in wireless communications.Table of Contents1. Introduction Ejder Bastug, Thang X. Vu, Symeon Chatzinotas, and Tony Q.S. Quek; 2. Coded caching for heterogeneous wireless networks Nikhil Karamchandani, Jad Hachem, Suhas Diggavi, and Sharayu Moharir; 3. Wireless device-to-device caching networks Mingyue Ji; 4. Cooperative caching in cloud-assisted 5G wireless networks Tuyen X. Tran , Guosen Yue , and Dario Pompili; 5. Stochastic caching schemes in large wireless networks Zheng Chen, Nikolaos Pappas, and Marios Kountouris; 6. Joint policies for caching, routing, and channel selection in next generation wireless edge systems Jacob Chakareski; 7. Learning popularity for proactive caching in cellular networks Doan Nguyen Khai, Thang Van Nguyen, and Tony Q.S. Quek; 8. Wireless edge caching for mobile social networks Yuris Mulya Saputra, Dinh Thai Hoang, Diep Nguyen, Eryk Dutkiewicz, and Dusit Niyato; 9. A proactive and big data-enabled caching analysis perspective Mehdi Bennis, Engin Zeydan, Ejder Bastug, and Mérouane Debbah; 10. Mobility-aware caching in cellular networks Shankar Krishnan, Mehrnaz Afshang, and Harpreet S. Dhillon; 11. Cache-enabled cloud radio access networks Meixia Tao, Erkai Chen, Wei Yu, and Ya-Feng Liu; 12. Fundamentals of coded caching for interference management Meixia Tao, Fan Xu, Youlong Cao, and Kangqi Liu; 13. Full-duplex radios for edge caching Italo Atzeni and Macro Maso; 14. Caching in mobile millimeter wave – sub-6 GHz networks Omid Semiari, Walid Saad, and Mehdi Bennis; 15. Energy-efficienct deployment in wireless edge caching Thang X. Vu, Symeon Chatzinotas, and Bjorn Ottersten; 16. Cache-enabled UAVs in wireless networks Mingzhe Chen, Walid Saad, and Changchuan Yin; 17. Physical layer security for edge caching wireless networks Xiang Lin, Derrick W.K. Ng, Robert Schober, and Vincent W.S. Wong; 18. Mobile VR edge delivery: computing, caching, and communication trade-offs Jacob Chakareski; 19. Economics ecosystems in elastic wireless edge caching Georgios Iosifidis, Jungho Kwak, and Georgios Paschos.

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Book SynopsisDiscover the fundamental characteristics of ultra-dense networks with this comprehensive text. Featuring a consistent mathematical description of ultra-dense small cell networks while also covering real-world issues such as network deployment, operation and optimization, this book investigates performance metrics of coverage probability and area spectral efficiency (ASE) and addresses the aspects of ultra-dense networks that make them different from current networks. Insightful intuitions, which will assist decision-makers as they migrate their services, are explained and mathematically proven. The book presents the latest review of research outcomes on ultra-dense networks, based on both theoretical analyses and network simulations, includes over 200 sources from 3GPP, the Small Cell Forum, journals and conference proceedings, and covers all other related and prominent topics. This is an ideal reference text for professionals who are dealing with the development, deployment, operation and maintenance of ultra-dense small cell networks, as well as researchers and graduate students in communications.Table of ContentsPart I. Getting Started: 1. Introduction; 2. Modelling and analysis of ultra-dense wireless networks; 3. Performance analysis of traditional sparse and dense wireless networks; Part II. Fundamentals of Ultra-Dense Small Cell Networks: 4. The impact of line-of-sight transmissions on ultra-dense wireless networks; 5. The impact of antenna heights on ultra-dense wireless networks; 6. The impact of a finite user density on ultra-dense wireless networks; 7. The impact of ultra-dense wireless networks on multi-user diversity; Part III. Capacity Scaling Law: 8. The ultra-dense wireless networks capacity scaling law; 9. System-level network optimization; Part IV. Dynamic Time Division Duplexing: 10. Uplink performance analysis of ultra-dense networks; 11. Dynamic time division duplexing ultra-dense wireless communication networks.

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Book SynopsisAdvanced IoT based wireless communication has recently received a lot of attention due to a wide range of industry 4.0 applications such as security solutions of CPS in vehicular communication, E_Healthcare over secure wireless communication, privacy issues of E_Learning via cost and energy efficient wireless network communication, etc. In these applications, physical data is continuously monitored by the IoT-based sensor nodes to facilitate the current situations, 5G network management, security solutions, etc. in industry 4.0 environment. Despite the many security issues considered in existing wireless communication in the industry 4.0 applications, IoT based 5G and 5G+ wireless communication will enhance the future security issues including cybersecurity solutions. The aim of this book to deliver the best services with minimum cost and maximum security in all industry 4.0 applications. For instance, medical priority services against the available sources and devices (IoT, sensors, decision-making units, etc.), patient monitoring services against the waiting list and the population, and security services of CPS against the energy efficiency and the battery lifetime are challenging critical problems in the industry 4.0. This book covers some improvement methods in security influence to future communication they are cybersecurity issues of IoT based 5G and 5G+ communication systems. These methods can be considered through the efficient channel coding scheme, efficient traffic management, bandwidth guard, cybersecurity solutions, etc. Requirements for future communication such 5G+ support to illustrate the security issues in selected applications of industry 4.0 such as learning style transformation. Sensors are typically capable of wireless communication and are significantly utilized in many applications such as medical communication with IoT-based 5G infrastructure. Despite many security solutions of communication technologies, decision making, dynamic and intelligent solutions based on sensors, IoT devices, CPS, etc. will be minimizing energy costs and maximizing security issues of industry 4.0. The field of advanced IoT-based 5G+ wireless communication networks merge a lot of functions like secure transmission capacities with latest multiple access schemes, computation of best latency and energy efficiency, and secure communication with location-based services, etc. This book covers many functionalities through the important examples and applications used in industry 4.0.Table of ContentsFor more information, please visit our website at:https://novapublishers.com/shop/advanced-security-issues-of-iot-based-5g-plus-wireless-communication-for-industry-4-0/

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Book SynopsisObjectives: This book examined the decision making process and health seeking patterns of low-income young women with unplanned pregnancies who opted for abortion, putting baby up for adoption, or keeping the baby. Methods: Research methodology in this book focused on formative research utilising qualitative data. The study was conducted covering all five shelters and low-income communities in Bangkok, Thailand. The data collection was through Focus Group Discussions, and in-depth interview. Forty-five cases were purposively recruited into the study. The data were analysed using content analysis. Results: From the qualitative research, the results indicated that the majority of the young women tended to select abortion as their first choice, while a few cases continued their pregnancies to term without any attempt to terminate the pregnancy. These women tended to delay seeking assistance once they found out their pregnancy situation. Majority of the low-income young women were more likely to resort self-medication as their first alternative, which was sometimes hazardous to their health. Decision on self-medication or abortions with unskilled personnel sometimes resulted in serious and life-threatening complications. Many pregnancy-termination situations resulted from self-medication. While most of these women made the important decision themselves, they still sought advice, guidance, and support from their partners, peers and parents. When the first attempt failed, they would seek a second or third attempt until they felt it was not possible to achieve what they had planned. Most women with unplanned pregnancies knew that they had options regarding termination of their pregnancies but their main concern was confidentiality. Consequently, the women who wanted to terminate their pregnancies adopted three patterns of action, i.e., 1) visiting drugstores / grocery stores, 2) visiting private clinics or hospitals, and 3) using physical pressure or vigorous actions. Most of the women realised that private clinics provided effective methods for terminating pregnancy, but due to its high cost, they would first resort self-medication or self-management. If they were not successful, they would then visit a private clinic and asked others to support the cost. Understanding the women''s decisions making process and their health seeking patterns utilisation allows us to understand their decision and course of actions. The program managers, implementers, providers, partners, parents/relatives, and friends should do as much as possible to support the decision of the women in order to provide better information and services to reduce the impact, both physical and mental, of their selected choice.

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Book SynopsisA comprehensive textbook for teaching and learning wireless networks. Assuming no prior knowledge of networks on the part of the reader, this book contains a rich collection of protocols to help one master wireless networks. Features: Student friendly; this book is written in a clear, concise and lucid manner; A sincere attempt has been made to introduce the basic concepts; Each chapter is organized into small sections that address key topics; Emphasis on in-depth coverage and good style in protocols; Aims to motivate the unmotivated; Explains the philosophy behind the creation of the networks; Covers both elementary as well as advanced networks; Helps to understand concepts by providing diagrams and definition listings wherever necessary; Logical flow of concepts starting from preliminary topics to advanced topics.

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Book SynopsisThis is an open access book.It offers comprehensive, self-contained knowledge on Mobile Edge Computing (MEC), which is a very promising technology for achieving intelligence in the next-generation wireless communications and computing networks.The book starts with the basic concepts, key techniques and network architectures of MEC. Then, we present the wide applications of MEC, including edge caching, 6G networks, Internet of Vehicles, and UAVs. In the last part, we present new opportunities when MEC meets blockchain, Artificial Intelligence, and distributed machine learning (e.g., federated learning). We also identify the emerging applications of MEC in pandemic, industrial Internet of Things and disaster management.The book allows an easy cross-reference owing to the broad coverage on both the principle and applications of MEC. The book is written for people interested in communications and computer networks at all levels. The primary audience includes senior undergraduates, postgraduates, educators, scientists, researchers, developers, engineers, innovators and research strategists.Table of ContentsIntroduction.- Mobile Edge Computing.- Mobile Edge Caching.- Mobile Edge Computing for 5G Beyond/6G.- Mobile Edge Computing for Internet of Vehicles.- Mobile Edge Computing for UAVs.- The Future of Mobile Edge Computing.

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Book SynopsisAddressing the most dynamic areas of the ever-changing telecommunications landscape, the second edition of the bestselling CRC Handbook of Modern Telecommunications once again brings together the top minds and industry pioneers in wireless communication networks, protocols, and devices. In addition to new discussions of radio frequency identification (RFID) and wireless sensor networks, including cognitive radio networks, this important reference systematically addresses network management and administration, as well as network organization and governance, topics that have evolved since the development of the first edition. Extensively updated and expanded, this second edition provides new information on: Wireless sensor networks RFID Architectures Intelligent Support Systems Service delivery integration with the Internet Information life cycle and service level management Management ofTable of ContentsVoice and Data Communications. Computer Telephone Integrated (CTI). Voice over IP. Local Area Networks. RFID Architecture and Protocols. Design of Wireless Sensor Network Applications, Hardware and Software. Multimedia Applications for Cognitive Radio Networks. Intranets. Internet and Intranet Management Concepts, Virtual Private Networking Solutions. Web-Enabled Data Warehousing. Web Performance Management.Application Performance Management. Electronic Technologies. Internet Protocols, Role of Open Source Software. Summary and Trends. Network Management and Administration. Management Concepts, Management of Emerging Technologies. Management-Related Standards. Management Function, Support Systems for Service Providers. Support Processes for Service Providers. Management Frameworks and Applications. Intelligence Support Systems. Management of Sensor Networks. Solution Architectures. Summary and Trends. Network Organization and Governance. Information Life Cycle Management. Information Technology Alignment with Businesses. Business Intelligence and Analytics. Service-Level Management. Management Services and Outsourcing. Network Management Organization. Best Practices Benchmarks for Service Providers. Summary and Trends. Future Telecommunications Services. User Needs. Application Trends. Systems and Service Integration for Management. New Produce and Service Creation. Telecommunications Tariffing. Telecommunications Strategies.

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Book SynopsisReviewing the previous edition, "IEEE Microwave Magazine" boasted, "anyone designing power amplifiers will find this book thought provoking and useful." Professionals in the field agreed as the book went on to be one of our top-selling RF design titles. This extensively revised edition of "RF Power Amplifiers for Wireless Communications" offers practitioners a comprehensive, practical, and up-to-date understanding of how to tackle a PA (power amplifier) design with confidence and quickly determine the cause of malfunctioning hardware. Among the numerous updates, the Second Edition includes five new chapters on some of today's most important topics, such as class AB PAs at GHz frequencies; switching PA modes at GHz frequencies; signals, modulation systems, and PA nonlinearities; power amplifier bias circuit design; and load-pull techniques. Supported with nearly 200 illustrations, the book contains the most complete survey of RF PA efficiency enhancement and linearization techniques in a single volume.Table of ContentsLinear PA Design. Conventional High-Efficiency Amplifier Modes. Class AB PAs at GHz Frequencies. Practical Design of Class AB PAs. Overdrive and the Class F Mode. Switching Mode Amplifiers for RF Applications. Switching PA Modes at GHz Frequencies. Signals, Modulation Systems, and PA Nonlinearities. Efficiency Enhancement Techniques. Power Amplifier Bias Circuit Design. Power Amplifier Architecture. PA Linearization Techniques.

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Book Synopsis.- FEKNN: A Wi-Fi Indoor Localization Method Based on Feature Enhancement and KNN..- Smartphone Indoor Fusion Localization with Trust Region-Based Magnetic Matching..- Multi-agent Deep Reinforcement Learning-based UAV-enable NOMA Communication Networks Optimization..- BufferConcede: Conceding Buffer for RoCE Traffic in TCP/RoCE Mix-Flows..- An Effective Cooperative Jamming-based Secure Transmission Scheme for a Mobile Scenario..- ID-Gait: Fine-grained Human Gait State Recognition using Wi-Fi Signal..- Anti-Packet-Loss Encrypted Traffic Classification via Masked Autoencoder..- Graph Transformer Hawkes Processes for Causal Structure Learning in Telecom Networks..- Design of Maritime End-to-End Autoencoder Communication System Based on Compressed Channel Feedback..- ZigRa: Physical-layer Cross-Technology Communication from ZigBee to LoRa..- Wireless Portable Dry Electrode Multi-channel sEMG Acquisition System..- A Double Layer Consensus Optimization Mechanism in DAG-based Blockchain for Carbon Trading..- Probabilistic Offloading Algorithm for Opportunistic Networks Integrating Node Influence Prediction..- Secret Sharing Based Key Agreement Protocol for Body Area Networks..- Active Detection Based NTP Device Attribute Detection..- Cyber Sentinel: Fortifying Voice Assistant Security with Biometric Template Integration in Neural Networks..- Traceable Health Data Sharing Based on Blockchain..- KD-Eye: Lightweight Pupil Segmentation for Eye Tracking on VR Headsets via Knowledge Distillation..- Meta-RFF: Few-Shot Open-Set Incremental Learning for RF Fingerprint Recognition via Multi-phase Meta Task Adaptation..- Left Ventricular Hypertrophy Detection Algorithm Using Feature Selection and CNN-LSTM..- Application with Digital Currencies Trading Using Machine Learning..- Mobile Crowdsourcing Task Assignment Algorithm Based on ConvNeXt and GRU..- Inferring the Number of Clusters for Radar Emitters via Threshold Segmentation and Information Fusion..- Enhancing Student Classroom Behavior Detection Using Improved SlowFast..- LV-auth: Lip Motion Fusion for Voiceprint Authentication..- Generative Model-Based Edge-Assisted Object Detection in Bandwidth-Constrained Network..- Enhancing Generalized Zero-shot Learning with Dynamic Selective Knowledge Distillation..- BehaMiner: System Behavior Mining for Audit Log based on Graph Learning..- REHG: A Recommender Engine Based on Heterogeneous Graph..- Step-by-Step and Tailored Teaching: Dynamic Knowledge Distillation..- TBA-GNN: A Traffic Behavior Analysis Model with Graph Neural Networks for Malicious Traffic Detection..- Enhancing Adversarial Robustness in Automatic Modulation Recognition with Dynamical Systems-Inspired Deep Learning Frameworks..- E-SAGE: Explainability-based Defense Against Backdoor Attacks on Graph Neural Networks..- Sophon IDS: Mitigating the Effectiveness of GAN-based Adversarial Attacks via Tailored Misinformation..- An Early Warning Method for Fracturing Accidents Using Joint CNN and LSTM Modeling..- Defense Strategy in Federated Learning: Unveiling Stealthy Threats and the Similarity Filter Solution..- FedScale: A Federated Unlearning Method Mimicking Human Forgetting Processes..- The Client-level GAN-based Data Reconstruction Attack and Defense in Clustered Federated Learning..- Byzantine-Robust Federated Learning Based on Blockchain..- FedDue: Optimizing Personalized Federated Learning through Dynamic Update Classifier..- FedDCT: A Dynamic Cross-Tier Federated Learning Framework in Wireless Networks.

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Book Synopsis.- FedMQ: Multi-grained Quantization for Heterogeneous Federated Learning..- A Secure and Efficient Privacy Data Aggregation Mechanism..- A Lightweight Method to Survey with Protecting Privacy yet Maintaining Accuracy..- A Method for Abnormal Detection and Poisoned Data Recovery in Clustered Federated Learning..- FedDAGC: Dynamic Adaptive Graph Coarsening for Federated Learning on Non-IID Graphs..- Defending Against Poisoning Attacks in Federated Prototype Learning on Non-IID Data..- Federated Learning for Edge Heterogeneous Object Detection Algorithm..- CoR-FHD: Communication-Efficient and Robust Federated Hyperdimensional Computing for Activity Recognition..- Dynamic Staleness Control for Asynchronous Federated Learning in Decentralized Topology..- Fair and Communication-Efficient Personalized Federated Learning..- Distributed & Personalized Federated Learning in Wireless Ad Hoc Networks..- DS-TFP: A Distributed and Secure Traffic Flow Prediction Framework Based on Federated Graph Learning..- Federated Dynamic Graph Fusion Framework for Remaining Useful Life Prediction..- FEAttack: A Fast and Efficient Hard-Label Textual Attack Framework..- Pleno-Sense: An Adaptive Switching Algorithm towards Robust Respiration Monitoring Across Diverse Motion Scenarios..- Inter-Technology Backscatter Communication: A Bidirectional Zigbee-BLE System..- Distributed Dynamic Virtual Network Embedding in Container Networks..- Automatic Modulation Recognition Using Parallel Feature Extraction Architecture..- A Message Routing Algorithm Based on the Importance of Node Social Relationships in Opportunistic Mobile Networks..- Real-time Atmospheric Duct Height Prediction Framework Based on Spatio-temporal to Ensure Maritime Communication Security..- An Extra Diagnosis Algorithm for Conditional Recursive Match Networks under the PMC Model..- Personalized mmWave Signal Synthesis for Human Sensing..- Remorabook: Privacy-Preserving Mobile Social Networking Based on Remora Computing..- DSBA: Dynamic Sharded Blockchain Architecture for Industrial Emergency Data Sharing..- A Novel Merging Framework for Homogeneous and Heterogeneous Blockchain Systems..- Active Defense Simulation Evaluation of Industrial Control Systems Based on Attack-Defense Graph..- Hybrid Heterogeneous Wireless Chargers Placement..- An Efficient Fault-tolerant Communication Scheme in 3-ary n-cube Networks..- 3D Physical Layer Secure Transmission for UAV-assisted Mobile Communications without Locations of Eavesdroppers..- Adaptive Self-healing Routing for Heterogeneous Ambient Backscatter Wireless Sensor Networks..- Joint Optimization of Maximum Achievable Rate in SWIPT Systems Assisted by Active STAR-RIS..- Anonymity on Byzantine-Resilient Decentralized Computing..- A DRL-Based Edge Intelligent Servo Control with Semi-Closed-Loop Feedbacks in Industrial IoT..- Anomaly Detection under Normality-Shifted IoT Scenario: Filter, Detection, and Adaption..- DevDet: Detecting IoT Device Impersonation Attacks via Traffic Based Identification..- Multiscale Adversarial Domain Adaptation Approach for Cloud-Edge Collaborative Fault Diagnosis of Industrial Equipment..- Detection and Localization of Malicious Nodes in Internet of Things Based on SDN..- Enhancing Scalability: A Complete Tree Sharding Architecture towards IoT..- A Cloud-Edge Integrated Water Body Extraction Using Superpixel Segmentation..- Layer-Aware Microservice Deployment for Edge Computing with Service Reliability Provisioning..- FusionFlow: Neural Fusion and Compression for Communication Efficient Edge-Cloud Collaborative Computing..- Toward Low Overhead and Real-time Multi-vehicle Collaborative Perception via V2V Communication.

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Book Synopsis.- Efficient Online Path Selection and Workload Allocation for In-network Computing in MEC..- CO-LEACH: Cooperative Data Collection Protocol for Data Heterogeneous WSNs..- Profinder: Towards Professionals Recognition on Mobile Devices for Users with Cognitive Decline..- Truthful Double Auction-Based Resource Allocation Mechanisms for Latency-Sensitive Applications in Edge Clouds..- V2ICooper: Toward Vehicle-to-Infrastructure Cooperative Perception with Spatiotemporal Asynchronous Fusion..- Recommendation-Aware Collaborative Edge Caching Strategy in the Internet of Vehicles..- Towards Robust Internet of Vehicles Security: An Edge Node-Based Machine Learning Framework for Attack Classification..- Device-edge-cloud Collaborative Video Stream Processing and Scheduling Strategy Based on Deep Reinforcement Learning..- Consistent Low-latency Scheduling for Microsecond-Scale Tasks in Data Centers..- Multi-scale Data Reconstruction Based Policy Optimization Algorithm for Skill Learning..- Joint Optimization Design of Intelligence Reflecting Surface Assisted MU-MISO System Based on Deep Reinforcement Learning..- Secure Motion Verification for High Altitude Platforms with a Hybrid AOA-TDOA-FDOA Scheme..- Variational Autoencoder based Automatic Clustering for Multivariate Time Series Anomaly Detection..- Deep Reinforcement Learning based Economic Dispatch with Cost Constraint in Cyber Physical Energy System..- InceptionNeXt Network with Relative Position Information for Microexpression Recognition..- AdMarks: Image Steganography Based on Adversarial Perturbation..- A Review on Binary Code Analysis Datasets..- Low-cost Robot Path Planning Mechanism for Escaping from Dead Ends..- Towards Communication-Efficient Collaborative Perception: Harnessing Channel-Spatial Attention and Knowledge Distillation..- Improving Anomaly Scene Recognition with Large Vision-Language Models..- ReSU-Net: State Space Model for 3D Abdominal Multi-organ Segmentation..- Autocue: Targeted Textual Adversarial Attacks with Adversarial Prompts..- Universal Sign Language Recognition System Using Gesture Description Generation and Large Language Model..- A High-precision Generality Method for Chinese Nested Named Entity Recognition..- Tree of Thought Prompt in Robotic Arm Control.

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Book SynopsisChapter 1. Introduction.- Chapter 2. UAVs in the Next Generation Wireless Networks: Background & Literature Review.- Part I. PSO-based Algorithmic Solutions for UAV-Assisted mMIMO Communications.- Chapter 3. Joint HBF and UAV Deployment in Dual-Hop SU-mMIMO Systems.- Chapter 4. PSO-Based UAV-Assisted DF Relaying in Terrestrial MU-mMIMO System.- Chapter 5. Multiple UAV-Assisted Cooperative DF Relaying for Enhanced Coverage and Capacity.- Part II. Low-Complexity DL-Based Solutions for Real-time UAV-Assisted MU-mMIMO Communications.- Chapter 6. Joint UAV Location and PA Optimization: A Deep SL (DSL) Approach.- Chapter 7. UAV Deployment Based on Deep RL (DRL) in Dynamic Communication Networks.- Chapter 8. A Codebook-Based DRL Approach for UAV Deployment & Trajectory Design.- Chapter 9. Conclusions & Future Works.

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Book Synopsis With 5G, telecommunications networks have entered a new phase. 5G mobile networks use unique concepts and technologies to deliver current and future applications across a wide spectrum, from high bit-rate smartphones to high-availability car-to-x and mass IoT applications. This book on 5G technology starts with the evolution of mobile networks to 5G. It then addresses basic concepts and technologies such as NGN, IMS, virtualization with NFV and MEC, SDN, and Service Function Chaining. The 5G environment is comprehensively presented, starting with use cases and usage scenarios and moving on to concrete requirements, as well as the standardization at ITU and especially 3GPP, including regulation. In this context, the 5G system design, the 5G access networks with their high-performance transmission technology, and the core network with the innovative concepts of Service Based Architecture and Network Slicing play a significant role. A 5G system is presented here in an integrated view, rounded off by an overview of all relevant IT security aspects. The overall view is concluded by looking at the environmental influences of electromagnetic radiation and the energy and raw material resources requirements. Furthermore, the future development of 5G up to 6G is outlined. The book's main objective is to provide people interested in 5G technology and application scenarios with a well-founded knowledge for an introduction to 5G and encourage further discussion of this topic. The target audience is generally technically interested persons, mostly employees of public and private network operators. This book should be of particular interest, especially within the IT departments of potential 5G user companies, and of course, among computer science and electrical engineering students.

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Book Synopsis.- A Context-Aware Mental Health LLM Chatbot with Enhanced Security..- FedTD3: An Accelerated Learning Approach for UAV Trajectory Planning..- DP-CDA: A Pricing Mechanism for Edge Computing Resources Based on Combinatorial Double Auction and Differential Privacy Preservation..- Jamming-Resilient Data Aggregation for UAV Ad Hoc Networks..- Discovering PLC Web Application Vulnerabilities Impacting Physical Control Using LLM-based Fuzzing..- DSRNet: Hybrid Deep Learning-based Channel Estimation for RIS-Aided Wireless Communication..- Friend discovery scheme with privacy protection in mobile social networks..- Channel Selection for EEG Biometrics under Emotion Simulations..- Intelligent Re-Encryption and Commitment-Driven Dynamic Data Sharing..- EHFC: Enhanced Format Clustering via Pre-trained Traffic Model..- High-Precision Ranging Fusion using Neural Network for Bluetooth Channel Sounding..- Soft Multi-View Representation Learning for Disambiguating Text-based Person Retrieval..- FedSPA: Federated Learning with Similarity-based Prototype Aggregation..- Timed and Decentralized Wireless Broadcasting System..- A High-Performance AI Processor Architecture: Integrating Multi-Controller with Hybrid DDR Memory..- A DRL-Based Deviation-Aware Federated Digital Twin Construction over Wireless Edge Network..- SEER: A Slothful Encoding to Mitigate Read Error of Stop-in-Middle Domain-Wall for Reliable Racetrack Memory..- Breaking the Energy Efficiency-Stability Trade-off: Optimal Lyapunov V Tuning for Wireless-Powered MEC..- STA-Hyper: Hypergraph-based Spatio-Temporal Attention Network for Next Point-of-Interest Recommendation..- Generative Adversarial CLIPs for Unsupervised Backlit Image Enhancement..- MRCC: A Congestion Control Algorithm for Enhanced QoE in Real-Time Networks..- Privacy-Preserving Credential Management for Blockchain-Based Self-Sovereign Identity..- Wireless Resource Optimization for UAV Swarm Cooperative Sensing via Multi-Agent Multi-Task Deep Reinforcement Learning..- A Blockchain-enhanced Hybrid Scheme for Right Registration and Handover..- Parallelization Techniques for Large Language Models: A Review from Training to Inference..- DRL-based Computation Offloading and Resource Allocation in THz Band..- The Defense Against Backdoor Attacks Using Trigger Inversion and Data Augmentation in Clustered Federated Learning..- ESL-LEO: An Efficient Split Learning Framework over LEO Satellite Networks..- Accelerating Elliptic Curve Digital Signature verification on FPGA for secure communication..- Generative Pretrained Transformer for Wireless Traffic Prediction..- LEO-Integrated Based Partial Task Offloading Optimization in Vehicular Networks..- Online Personalized Federated Learning Methods for Intrusion Detection in Dynamic UAV Networks..- Real-Time Reliable Large Language Models with Distributed Knowledge Crowdsourcing for Automotive Mobile Intelligence..- Adaptive Feature Fusion Enhanced Cascade Pointer Network for Chinese Relation Extraction..- Quantum Machine Learning: Hybrid System of Quantum and Classical Computing.

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Book Synopsis.- GAT-Enhanced DRL Decision Framework for Joint Routing and Scheduling under Vehicular Time-Sensitive Networking..- CSI-Cro A Cross-Domain Sign Language Recognition System Based on Dual-Attention Feature Decoupled Network..- Latency-Optimal and Memory-Aware Model Partitioning for Cooperative Inference at the Edge..- A Sub-Domain Index System for Network Security Situation Assessment..- Integrating Pretrained Models with Graph Neural Networks for Smart Contract Interpretability..- A Simple Heuristic Finding Connectivity Bottleneck in Networks with Shared Risk Resource Groups..- Improving the Freshness of Digital Twins in Edge Computing..- Joint Offloading and Resource Allocation Optimization based on Multi-coupled Directed Acyclic Graphs for IIoT..- SeRed: A Selective Reduction Method for Efficient Network Flow Storage..- CAG: A Constraint-Driven Adversarial Traffic Generation Scheme Based on Feature Correlations..- A Supervisor-Oriented Privacy-Preserving Fair Exchange Scheme for V2G..- MACROSS: End-to-End Network Attack Detection Model for EV Charging Station Based on Temporal-Frequency Feature Fusion..- Game Theory-Based Secure Deduplication Method..- A Cuckoo Filter-based Anomaly Detection and Localization Mechanism for SDN-based Multidomain IoT..- Enhancing Federated Learning in IoT Through Dynamic Spectral Clustering..- Differentially Private Vertical Federated Learning with Dual-Sparsification..- Bandwidth Prediction within Playback-time of Buffer Duration based on Frame-level Stable Segment for Live Streaming..- MissingClip: An Industrial Anomaly Detection Method under Modality Missing..- Multi-Preference Sequence Recommendation Transformer..- Exploring Heterogeneity in Federated Learning..- Diverse Delay-Sensitive Task Offloading and Resource Allocation for IIoT: An SoI Enhanced Approach..- DEFA: A Prairie Rat-hole Target Detection Algorithm Integrating Depth Estimation Based on MiDas..- PIS-EnsemNet: A novel method for predicting the number of devices in hotspot sharing networks based on passive measurement..- Joint Hierarchical Feature Fusion and Progressive Learning for Topology Robustness Prediction..- A SCA-Based Method for RIS Assisted Over-the-Air Computation..- MPAM: Dual-Transformer for Millimeter-Wave Sensing Based Multi-person Activity Monitoring System..- Dynamic Graph-based Semi-Supervised Anomaly Detection for In-Vehicle CAN Bus Network..- A Model of Multi-order Sampling Neighbor Aggregation for Traffic Flow Prediction..- Physics-Informed Transformer for Efficient Fluid Dynamics Predictions..- ICSPFuzzer: An Efficient Fuzzing Technique for ICS Protocols..- MRT-DETR: A New Real-Time Object Detection Method..- MASS: Empowering Wi-Fi Human Sensing with Metasurface-Assisted Sample Synthesis..- DDC Sketch: A Dynamically Adaptive Framework for Network Traffic Measurement..- Timely Watchers: Cost-Effective Schedule for Urban Sensor Patrols..- vGPU Performance Testing Framework for Large Model Inference.

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Book Synopsis.- FedBridgeICL: Federated Bridging of Small and Large Models for In-Context Learning..- Hierarchical DRL-Based Multi-Motor Control with Torque Synchronization in Industrial IoT..- Double Spending Defense in Consortium Blockchain under Network Partitioning..- PM-SRCANet: A Privacy-preserving Multimodal Stress Recognition Convolutional Attention Network Model..- Data Augmentation Based on Neighborhood Effects to Steer User Interests..- Research on location privacy protection methods in vehicle networking..- A Fair Rate Shaping-Based Congestion Control Strategy for Remote Sensing Satellite Networks..- Resilient Cooperative Computing for Satellite Mobile Edge Computing Using Multi-Agent DRL..- FedALoRA:Adaptive Local LoRA Aggregation for Personalized Federated Learning in LLM..- A Lightweight Transformation Method for Privacy Protection in Image Classification..- CSVA: Complexity-Driven and Semantic-Aware Video Analytics via Edge-Cloud Collaboration..- Efficient Task Offloading and Resource Allocation in Space-Air Ground-Sea Networks: A MAPPO-based Approach..- A Fine-grained Resource Allocation Strategy for Industrial TSN-5G Networks..- A Task Feature Prediction Approach for Adaptive Computation Offloading in VEC..- Exploiting Viaduct Blocking Effects for Enhanced Spectrum Availability in Cognitive Radio-Assisted Internet of Vehicles..- Feature Compression with Spatial Reduction and Hyperprior Enhancement for Collaborative Intelligences..- Black-box universal adversarial attack targeting speaker recognition models..- GraphFT: A Lightweight Fault-tolerant Framework for Iterative Graph Processing..- Byzantine-Resilient Differentially Private Federated Learning: A Dual-Phase Group-wise Aggregation Approach..- Deep Decision Algorithm for DNA Image Storage: Enhancing Accuracy with Edit Distance-Based Quality Assessment..- DROIT: A Distributed Robustness Optimization Scheme with Local Information for IoT Topology..- A Hybrid EEG Forecasting Model with Rolling Mapping-Partial Decomposition and LSTM..- A Joint Learning and Communication Framework for Intrusion Detection in Wireless Networks with High-speed UAVs..- Adaptive Privacy Defense Against Category Inference Attack in Clustered Federated Learning: Balancing Security and Model Performance..- An open X-ray spectrometric dataset for deep-learning based pile-up correction..- KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series Forecasting..- Guarding Semantic Communication: A Proactive Security Mechanism Against Eavesdropping..- DeepTTF: A Deep Tree Traffic Forecast Model Based on Tree Structure..- TransGER: Transformer-Based CNN-BiGRU Architecture for sEMG Gesture Recognition in Time-Frequency Domain..- Multi-Layer IRS-Assisted Wireless-Powered Secure Terahertz Communication..- A Practical Deep Reinforcement Learning-based QoS-Aware Scheduler for 5G Cellular Networks..- Fast Autonomous Exploration in Complex Environments via the Farthest Cluster Representative and Dynamic Information Gain..- Lightweight Attention-Based CNN Architecture for CSI Feedback of RIS-Assisted MISO Systems..- Quantum Routing Design and Implementation for LEO Satellite Networks..- AICom2..- Nvwa Patches Up the Block: A Powerful Model for Error Concealment in Panoramic Video Transmission..- Wi-FiAG: Fine-Grained Abnormal Gait Recognition via CNN-BiGRU with Attention Mechanism from Wi-Fi CSI..- A Security Sharing Scheme for Multi-Institutional Access Control of Medical Data Based on Blockchain..- A Secure and Efficient Data Sharing Framework for IoV Using Blockchain and Reputation-Based Incentive Mechanism..- A PSO-based Method for Finding Approximately Optimal Order for LLL Algorithm..- Blockchain-based Privacy-preserving Asynchronous Federated Learning..- Multilayer Context Network: A New Approach for Gait Phase Detection..- Energy-Constrained Joint Path Planning for Vehicle-UAVs in Task Point Coverage..- A Blockchain-Assisted Certificateless Authentication Protocol for Internet of Vehicles..- A Dynamic Frame Slotted ALOHA Based on Q-Learning.

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