Robust Resource Allocation In Future Wireless Networks
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Robust Resource Allocation In Future Wireless Networks
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Author : Saeedeh Parsaeefard
language : en
Publisher: Springer
Release Date : 2017-03-06
Robust Resource Allocation In Future Wireless Networks written by Saeedeh Parsaeefard and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-06 with Technology & Engineering categories.
This book presents state-of-the-art research on robust resource allocation in current and future wireless networks. The authors describe the nominal resource allocation problems in wireless networks and explain why introducing robustness in such networks is desirable. Then, depending on the objectives of the problem, namely maximizing the social utility or the per-user utility, cooperative or competitive approaches are explained and their corresponding robust problems are considered in detail. For each approach, the costs and benefits of robust schemes are discussed and the algorithms for reducing their costs and improving their benefits are presented. Considering the fact that such problems are inherently non-convex and intractable, a taxonomy of different relaxation techniques is presented, and applications of such techniques are shown via several examples throughout the book. Finally, the authors argue that resource allocation continues to be an important issue in future wireless networks, and propose specific problems for future research.
Fundamentals Of Resource Allocation In Wireless Networks
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Author : Slawomir Stanczak
language : en
Publisher: Springer
Release Date : 2009-08-27
Fundamentals Of Resource Allocation In Wireless Networks written by Slawomir Stanczak and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-08-27 with categories.
Machine Learning For Future Wireless Communications
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Author : Fa-Long Luo
language : en
Publisher: John Wiley & Sons
Release Date : 2020-02-10
Machine Learning For Future Wireless Communications written by Fa-Long Luo and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-10 with Technology & Engineering categories.
A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author – a noted expert on the topic – covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource: Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks Covers a range of topics from architecture and optimization to adaptive resource allocations Reviews state-of-the-art machine learning based solutions for network coverage Includes an overview of the applications of machine learning algorithms in future wireless networks Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.
Reliable And Efficient Trajectory Design In Uav Aided Wireless Networks
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Author : Yulin Hu
language : en
Publisher: Springer Nature
Release Date : 2025-08-25
Reliable And Efficient Trajectory Design In Uav Aided Wireless Networks written by Yulin Hu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-25 with Technology & Engineering categories.
This book focuses on the trajectory design technologies of unmanned aerial vehicles (UAVs) in wireless networks. Multiple pure trajectory design and joint design schemes have been proposed, from the trajectory characterization and optimization to simulation evaluations. Different UAV-Aided wireless communication networks have been considered, involving wireless power transfer (WPT), integrated sensing and communications (ISAC), data collection and covert communication. An in-depth study on privacy-preserving for UAV has also been presented. The book benefits researchers, engineers, and graduate students interested in the wireless communication system, UAV-assisted networks.
Energy Efficiency In Wireless Networks
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Author : Oswald Jumira
language : en
Publisher: John Wiley & Sons
Release Date : 2013-01-24
Energy Efficiency In Wireless Networks written by Oswald Jumira and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-24 with Technology & Engineering categories.
The last decade has witnessed an unprecedented development and growth in global wireless communications systems, technologies and network “traffic” generated over network infrastructures. This book presents state-of-the-art energy-efficient techniques, designs and implementations that pertain to wireless communication networks such as cellular networks, wireless local area networks (WLANs) and wireless ad hoc networks (WAHNs) including mobile ad hoc networks (MANETs), and wireless sensor networks (WSNs) as they are deployed across the world to facilitate “always on” reliable high-speed wireless access from anywhere, at anytime to accommodate the new paradigm of the “Internet of Things” (IoT). The pervasive and exponential growth of Wi-Fi and the impact of bandwidth-intensive applications on the energy consumption of Wi-Fi-enabled devices are discussed along with energy harvesting as an advantageous option to power WAHNs. The book aims to serve as a useful reference for researchers, students, regulatory authorities, and educators.
Information Processing And Network Provisioning
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Author : Michel Kadoch
language : en
Publisher: Springer Nature
Release Date : 2025-06-04
Information Processing And Network Provisioning written by Michel Kadoch and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-04 with Computers categories.
The four-volume set CCIS 2416, 2417, 2418 & 2419 constitutes the refereed post-conference proceedings of the Third International Conference on Information Processing and Network Provisioning, ICIPNP 2024 Spring, held in Beijing, China, during June 14–16, 2024. The 152 revised full papers presented in these proceedings were carefully reviewed and selected from 347 submissions. They focus on topics ranging from 5G/6G evolution and AI in network optimization to quantum communication and green computing.
Wireless Broadband Networks
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Author : David T. Wong
language : en
Publisher: John Wiley & Sons
Release Date : 2009-03-30
Wireless Broadband Networks written by David T. Wong and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-30 with Technology & Engineering categories.
An introduction to theories and applications in wireless broadband networks As wireless broadband networks evolve into future generation wireless networks, it's important for students, researchers, and professionals to have a solid understanding of their underlying theories and practical applications. Divided into two parts, the book presents: Enabling Technologies for Wireless Broadband Networks—orthogonal frequency-division multiplexing and other block-based transmissions; multi-input/multi-output antenna systems; ultra-wideband; medium access control; mobility resource management; routing protocols for multi-hop wireless broadband networks; radio resource management for wireless broadband networks; and quality of service for multimedia services Systems for Wireless Broadband Networks—long-term evolution cellular networks; wireless broadband networking with WiMax; wireless local area networks; wireless personal area networks; and convergence of networks Each chapter begins with an introduction and ends with a summary, appendix, and a list of resources for readers who would like to explore the subjects in greater depth. The book is an ideal resource for researchers in electrical engineering and computer science and an excellent textbook for electrical engineering and computer science courses at the advanced undergraduate and graduate levels.
5g For Future Wireless Networks
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Author : Keping Long
language : en
Publisher: Springer
Release Date : 2017-12-31
5g For Future Wireless Networks written by Keping Long and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-31 with Computers categories.
This book constitutes the proceedings of the First International Conference on 5G for Future Wireless Networks, 5GWN 2017, held in Beijing, China, in April 2017. The 64 full papers were selected from 135 submissions and present the state of the art and practical applications of 5G technologies. The exponentially growing data traffic caused by the development of mobile Internet and smart phones requires powerful networks. The fifth generation (5G) techniques are promising to meet the requirements of this explosive data traffic in future mobile communications.
Interference Mitigation In Device To Device Communications
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Author : Masood Ur Rehman
language : en
Publisher: John Wiley & Sons
Release Date : 2022-03-17
Interference Mitigation In Device To Device Communications written by Masood Ur Rehman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-17 with Technology & Engineering categories.
Explore this insightful foundational resource for academics and industry professionals dealing with the move toward intelligent devices and networks Interference Mitigation in Device-to-Device Communications delivers a thorough discussion of device-to-device (D2D) and machine-to-machine (M2M) communications as solutions to the proliferation of ever more data hungry devices being attached to wireless networks. The book explores the use of D2D and M2M technologies as a key enabling component of 5G networks. It brings together a multidisciplinary team of contributors in fields like wireless communications, signal processing, and antenna design. The distinguished editors have compiled a collection of resources that practically and accessibly address issues in the development, integration, and enhancement of D2D systems to create an interference-free network. This book explores the complications posed by the restriction of device form-factors and the co-location of several electronic components in a small space, as well as the proximity of legacy systems operating in similar frequency bands. Readers will also benefit from the inclusion of: A thorough introduction to device-to-device communication, including its history and development over the last decade, network architecture, standardization issues, and regulatory and licensing hurdles An exploration of interference mitigation in device-to-device communication underlaying LTE-A networks A rethinking of device-to-device interference mitigation, including discussions of the challenges posed by the proliferation of devices An analysis of user pairing for energy efficient device-to-device content dissemination Perfect for researchers, academics, and industry professionals working on 5G networks, Interference Mitigation in Device-to-Device Communications will also earn a place in the libraries of undergraduate, graduate, and PhD students conducting research into wireless communications and applications, as well as policy makers and communications industry regulators.
A Reliable Handoff Mechanism For Energy Efficient Internet Of Things Wireless Sensors Network
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Author : Dr. Ruksar Fatima, Dr. Nishatbanu Z. Nayakwadi
language : en
Publisher: Shashwat Publication
Release Date : 2025-06-26
A Reliable Handoff Mechanism For Energy Efficient Internet Of Things Wireless Sensors Network written by Dr. Ruksar Fatima, Dr. Nishatbanu Z. Nayakwadi and has been published by Shashwat Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-26 with Computers categories.
Enhancing Seamless Connectivity and Intelligent Resource Allocation for Next-Generation IoT Systems The explosive growth of smart applications and Internet of Things (IoT) devices demands a future-ready communication framework that delivers high bandwidth, ultra-low latency, seamless handovers, and optimized resource usage. This book presents a comprehensive solution to mobility management and network resource optimization through the integration of LTE sub-6 GHz and mmWave technologies—a crucial step in building reliable and high-performance heterogeneous wireless networks (HWNs). Addressing key challenges such as beam coverage issues, interference, and energy-efficient handovers, this research introduces: The Mobility Aware Handover Execution (MAHE) algorithm using the XGBoost machine learning model, achieving significant improvements in handover success rate, reduced signaling overhead, and better throughput. The Resource Optimized Network Selection (RONS) method, designed to minimize handover failures and enhance Quality of Experience (QoE) through intelligent, load-balanced resource allocation for users of varying priorities. Through detailed experiments and analysis, the book demonstrates how machine learning-based models can revolutionize connectivity in dynamic, real-time IoT environments—making it essential reading for researchers, engineers, and practitioners in the fields of wireless communications, network management, and smart IoT infrastructure. Key Topics Covered: LTE-mmWave handover optimization Machine learning-based prediction for handover success Energy-efficient mobility support for IoT Load balancing and QoS/QoE trade-offs in HWNs Interference-aware resource selection techniques