Radio Resource Management in Multi-Tier Cellular Wireless Networks

Radio Resource Management in Multi-Tier Cellular Wireless Networks PDF Author: Ekram Hossain
Publisher: John Wiley & Sons
ISBN: 1118502671
Category : Technology & Engineering
Languages : en
Pages : 346

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Book Description
Providing an extensive overview of the radio resource management problem in femtocell networks, this invaluable book considers both code division multiple access femtocells and orthogonal frequency-division multiple access femtocells. In addition to incorporating current research on this topic, the book also covers technical challenges in femtocell deployment, provides readers with a variety of approaches to resource allocation and a comparison of their effectiveness, explains how to model various networks using Stochastic geometry and shot noise theory, and much more.

Radio Resource Management in Multi-Tier Cellular Wireless Networks

Radio Resource Management in Multi-Tier Cellular Wireless Networks PDF Author: Ekram Hossain
Publisher: John Wiley & Sons
ISBN: 1118502671
Category : Technology & Engineering
Languages : en
Pages : 346

Get Book Here

Book Description
Providing an extensive overview of the radio resource management problem in femtocell networks, this invaluable book considers both code division multiple access femtocells and orthogonal frequency-division multiple access femtocells. In addition to incorporating current research on this topic, the book also covers technical challenges in femtocell deployment, provides readers with a variety of approaches to resource allocation and a comparison of their effectiveness, explains how to model various networks using Stochastic geometry and shot noise theory, and much more.

Radio Resource Management in Multi-Tier Cellular Wireless Networks

Radio Resource Management in Multi-Tier Cellular Wireless Networks PDF Author: Ekram Hossain
Publisher: John Wiley & Sons
ISBN: 1118749774
Category : Technology & Engineering
Languages : en
Pages : 346

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Book Description
Providing an extensive overview of the radio resource management problem in femtocell networks, this invaluable book considers both code division multiple access femtocells and orthogonal frequency-division multiple access femtocells. In addition to incorporating current research on this topic, the book also covers technical challenges in femtocell deployment, provides readers with a variety of approaches to resource allocation and a comparison of their effectiveness, explains how to model various networks using Stochastic geometry and shot noise theory, and much more.

Resource Management in Wireless Networking

Resource Management in Wireless Networking PDF Author: Mihaela Cardei
Publisher: Springer Science & Business Media
ISBN: 0387238085
Category : Technology & Engineering
Languages : en
Pages : 716

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Book Description
Following the pattern of the Internet growth in popularity, started in the early 1990s, the current unprecedented expansion of wireless technology promises to have an even greater effect on how people communicate and interact, with considerable socio-economic impact all over the world. The driving force behind this growth is the remarkable progress in component miniaturization, integration, and also devel- ments in waveforms, coding, and communication protocols. Besides established infrastructurebased wireless networks (cellular, WLAN, sat- lite) ad-hoc wireless networks emerge as a new platform for distributed applications and for personal communication in scenarios where deploying infrastructure is not feasible. In ad-hoc wireless networks, each node is capable of forwarding packets on behalf of other nodes, so that multi-hop paths provide end-to-end connectivity. The increased flexibility and mobility of ad-hoc wireless networks are favored for appli- tions in law enforcement, homeland defense and military. In a world where wireless networks become increasingly interoperable with each other and with the high-speed wired Internet, personal communication systems will transform into universal terminals with instant access to variate content and able of handle demanding tasks, such as multimedia and real-time video. With users roaming between networks, and with wide variation in wireless link quality even in a single domain, the communications terminal must continue to provide a level of Quality of Service that is acceptable to the user and conforms to a contracted Service Level Agreement.

Towards 5G

Towards 5G PDF Author: Rath Vannithamby
Publisher: John Wiley & Sons
ISBN: 1118979834
Category : Technology & Engineering
Languages : en
Pages : 466

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Book Description
This book brings together a group of visionaries and technical experts from academia to industry to discuss the applications and technologies that will comprise the next set of cellular advancements (5G). In particular, the authors explore usages for future 5G communications, key metrics for these usages with their target requirements, and network architectures and enabling technologies to meet 5G requirements. The objective is to provide a comprehensive guide on the emerging trends in mobile applications, and the challenges of supporting such applications with 4G technologies.

Radio Resource Management in Wireless Networks

Radio Resource Management in Wireless Networks PDF Author: Ekram Hossain
Publisher: Cambridge University Press
ISBN: 1107102499
Category : Computers
Languages : en
Pages : 433

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Book Description
This book allows readers to gain an in-depth understanding of resource allocation problems in wireless networks and the techniques used to solve them.

Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning

Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning PDF Author: Nur Zincir-Heywood
Publisher: John Wiley & Sons
ISBN: 1119675510
Category : Technology & Engineering
Languages : en
Pages : 402

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Book Description
COMMUNICATION NETWORKS AND SERVICE MANAGEMENT IN THE ERA OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING Discover the impact that new technologies are having on communication systems with this up-to-date and one-stop resource Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning delivers a comprehensive overview of the impact of artificial intelligence (AI) and machine learning (ML) on service and network management. Beginning with a fulsome description of ML and AI, the book moves on to discuss management models, architectures, and frameworks. The authors also explore how AI and ML can be used in service management functions like the generation of workload profiles, service provisioning, and more. The book includes a handpicked selection of applications and case studies, as well as a treatment of emerging technologies the authors predict could have a significant impact on network and service management in the future. Statistical analysis and data mining are also discussed, particularly with respect to how they allow for an improvement of the management and security of IT systems and networks. Readers will also enjoy topics like: A thorough introduction to network and service management, machine learning, and artificial intelligence An exploration of artificial intelligence and machine learning for management models, including autonomic management, policy-based management, intent based management, and network virtualization-based management Discussions of AI and ML for architectures and frameworks, including cloud systems, software defined networks, 5G and 6G networks, and Edge/Fog networks An examination of AI and ML for service management, including the automatic generation of workload profiles using unsupervised learning Perfect for information and communications technology educators, Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning will also earn a place in the libraries of engineers and professionals who seek a structured reference on how the emergence of artificial intelligence and machine learning techniques is affecting service and network management.

Radio Resource Management in Multi-Tier Cellular Wireless Networks

Radio Resource Management in Multi-Tier Cellular Wireless Networks PDF Author: Ekram Hossain
Publisher: Wiley
ISBN: 9781118749555
Category : Technology & Engineering
Languages : en
Pages : 352

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Book Description
Providing an extensive overview of the radio resource management problem in femtocell networks, this invaluable book considers both code division multiple access femtocells and orthogonal frequency-division multiple access femtocells. In addition to incorporating current research on this topic, the book also covers technical challenges in femtocell deployment, provides readers with a variety of approaches to resource allocation and a comparison of their effectiveness, explains how to model various networks using Stochastic geometry and shot noise theory, and much more.

Radio Resource Management for Wireless Networks

Radio Resource Management for Wireless Networks PDF Author: Jens Zander
Publisher: Artech House Publishers
ISBN:
Category : Computers
Languages : en
Pages : 408

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Book Description
CD-ROM contains: RUNE (Rudimentary Network Emulator) software

Deep Reinforcement Learning for Wireless Communications and Networking

Deep Reinforcement Learning for Wireless Communications and Networking PDF Author: Dinh Thai Hoang
Publisher: John Wiley & Sons
ISBN: 1119873673
Category : Technology & Engineering
Languages : en
Pages : 293

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Book Description
Deep Reinforcement Learning for Wireless Communications and Networking Comprehensive guide to Deep Reinforcement Learning (DRL) as applied to wireless communication systems Deep Reinforcement Learning for Wireless Communications and Networking presents an overview of the development of DRL while providing fundamental knowledge about theories, formulation, design, learning models, algorithms and implementation of DRL together with a particular case study to practice. The book also covers diverse applications of DRL to address various problems in wireless networks, such as caching, offloading, resource sharing, and security. The authors discuss open issues by introducing some advanced DRL approaches to address emerging issues in wireless communications and networking. Covering new advanced models of DRL, e.g., deep dueling architecture and generative adversarial networks, as well as emerging problems considered in wireless networks, e.g., ambient backscatter communication, intelligent reflecting surfaces and edge intelligence, this is the first comprehensive book studying applications of DRL for wireless networks that presents the state-of-the-art research in architecture, protocol, and application design. Deep Reinforcement Learning for Wireless Communications and Networking covers specific topics such as: Deep reinforcement learning models, covering deep learning, deep reinforcement learning, and models of deep reinforcement learning Physical layer applications covering signal detection, decoding, and beamforming, power and rate control, and physical-layer security Medium access control (MAC) layer applications, covering resource allocation, channel access, and user/cell association Network layer applications, covering traffic routing, network classification, and network slicing With comprehensive coverage of an exciting and noteworthy new technology, Deep Reinforcement Learning for Wireless Communications and Networking is an essential learning resource for researchers and communications engineers, along with developers and entrepreneurs in autonomous systems, who wish to harness this technology in practical applications.

Radio Resource Management in Cellular F/TDMA Smart Antenna Systems

Radio Resource Management in Cellular F/TDMA Smart Antenna Systems PDF Author: Christian Hartmann
Publisher: Herbert Utz Verlag
ISBN: 3831645418
Category :
Languages : en
Pages : 208

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Book Description
Zur Kapazitätserhöhung in zellularen Mobilfunksystemen eignet sich der Einsatz adaptiver Antennen an der Basisstation. Diese ermöglichen die räumliche Wiederverwendung von Kanälen innerhalb einer Zelle mittels Space Division Multiple Access (SDMA). Die Kapazitätsgewinne, die mit SDMA zu erzielen sind, hängen jedoch stark von den verwendeten Verfahren des Ressourcen Managements (RM) ab. Hierzu wurden neuartige RM-Verfahren für SDMA-Systeme entwickelt, welche die räumliche Kanalwiederverwendung innerhalb der Zelle mit verschiedenen Prinzipien der interzellularen Kanalvergabe (statische und dynamische) kombinieren. Zudem wurden die entwickelten Verfahren erweitert, um auch in hierarchisch strukturierten zellularen Netzen eingesetzt werden zu können. In ausführlichen Systemsimulationen konnte gezeigt werden, dass die neuen RM-Verfahren eine Vervielfachung der Systemkapazität mit Hilfe von SDMA ermöglichen. Zusätzlich werden analytische Modelle entwickelt und ausgewertet, die den Gewinn von Verfahren vorhersagen, welche die durch die Verwendung adaptiver Antennen reduzierte Inter-Zell-Interferenz ausnutzen (Spatial Filtering for Interference Reduction-SFIR), dies wird sowohl für F/TDMA basierte Systeme als auch für CDMA Systeme analysiert.