Internet of Things IoT in 5G Mobile Technologies

Konstantinos Katzis and Hamed Ahmadi Abstract This chapter aims at identifying the main design and operation constraints, that smart environments are expected to experience within a 5G wireless/mobile network and how these constraints ...

Internet of Things  IoT  in 5G Mobile Technologies

Internet of Things IoT in 5G Mobile Technologies

This book reports on the latest advances in the modeling, analysis and efficient management of information in Internet of Things (IoT) applications in the context of 5G access technologies. It presents cutting-edge applications made possible by the implementation of femtocell networks and millimeter wave communications solutions, examining them from the perspective of the universally and constantly connected IoT. Moreover, it describes novel architectural approaches to the IoT and presents the new framework possibilities offered by 5G mobile networks, including middleware requirements, node-centrality and the location of extensive functionalities at the edge. By providing researchers and professionals with a timely snapshot of emerging mobile communication systems, and highlighting the main pitfalls and potential solutions, the book fills an important gap in the literature and will foster the further developments of 5G hosting IoT devices.

Implementing Data Analytics and Architectures for Next Generation Wireless Communications

Attribute Reference 5G in the Internet of Things (Saxena et al., 2017); (Qadri et al., 2020); (Minoli et al., ... 2020) Description • Next-generation 5G wireless networks are expected to employ emerging technologies like mmWave, ...

Implementing Data Analytics and Architectures for Next Generation Wireless Communications

Implementing Data Analytics and Architectures for Next Generation Wireless Communications

Wireless communication is continuously evolving to improve and be a part of our daily communication. This leads to improved quality of services and applications supported by networking technologies. We are now able to use LTE, LTE-Advanced, and other emerging technologies due to the enormous efforts that are made to improve the quality of service in cellular networks. As the future of networking is uncertain, the use of deep learning and big data analytics is a point of focus as it can work in many capacities at a variety of levels for wireless communications. Implementing Data Analytics and Architectures for Next Generation Wireless Communications addresses the existing and emerging theoretical and practical challenges in the design, development, and implementation of big data algorithms, protocols, architectures, and applications for next generation wireless communications and their applications in smart cities. The chapters of this book bring together academics and industrial practitioners to exchange, discuss, and implement the latest innovations and applications of data analytics in advanced networks. Specific topics covered include key encryption techniques, smart home appliances, fog communication networks, and security in the internet of things. This book is valuable for technologists, data analysts, networking experts, practitioners, researchers, academicians, and students.

Fiber Wireless Convergence in Next Generation Communication Networks

Abstract Fifth-generation mobile access networks will feature unprecedented performance, not only in terms of higher data rates and lower latencies, but also in terms of the “intelligence” of the network. To achieve these targets, 5G ...

Fiber Wireless Convergence in Next Generation Communication Networks

Fiber Wireless Convergence in Next Generation Communication Networks

This book investigates new enabling technologies for Fi-Wi convergence. The editors discuss Fi-Wi technologies at the three major network levels involved in the path towards convergence: system level, network architecture level, and network management level. The main topics will be: a. At system level: Radio over Fiber (digitalized vs. analogic, standardization, E-band and beyond) and 5G wireless technologies; b. Network architecture level: NGPON, WDM-PON, BBU Hotelling, Cloud Radio Access Networks (C-RANs), HetNets. c. Network management level: SDN for convergence, Next-generation Point-of-Presence, Wi-Fi LTE Handover, Cooperative MultiPoint.

Innovative Mobile and Internet Services in Ubiquitous Computing

such as limited wireless bandwidth and flexible IP address of terminals. Since data transmission on 5G NSA networks is based on tunneling technology using GTP protocol, vulnerability towards GTP protocol may have an influence on the ...

Innovative Mobile and Internet Services in Ubiquitous Computing

Innovative Mobile and Internet Services in Ubiquitous Computing

This book presents the latest research findings, methods and development techniques, challenges and solutions concerning UPC from both theoretical and practical perspectives, with an emphasis on innovative, mobile and Internet services. With the proliferation of wireless technologies and electronic devices, there is a rapidly growing interest in Ubiquitous and Pervasive Computing (UPC), which makes it possible to create a human-oriented computing environment in which computer chips are embedded in everyday objects and interact with the physical world. Through UPC, people can go online even while moving around, thus enjoying nearly permanent access to their preferred services. Though it has the potential to revolutionize our lives, UPC also poses a number of new research challenges.

Proceedings of International Conference on Wireless Communication

5 Conclusion For 5G MIMO mobile terminals, a new low-coupling slot antenna array design has been proposed. The proposed MIMO antenna structure is as follows: a dualpolarizing circular ring slot antenna placed on the smartphone's edge.

Proceedings of International Conference on Wireless Communication

Proceedings of International Conference on Wireless Communication

This book comprises selected papers presented at the International Conference on Wireless Communication (ICWiCOM 2021), which is organized by the Department of Electronics and Telecommunication Engineering, D. J. Sanghvi College of Engineering, Mumbai, India, during October 8–9, 2021. The book focuses on specific topics of wireless communication, like signal and image processing applicable to wireless domains, networking, microwave and antenna design, and telemedicine systems. Covering three main areas – Antenna Design, Networking & Signal Processing, Embedded Systems and Internet of Things (IoT) – it is a valuable resource for postgraduate and doctoral students.

SEC Docket

Since electing to be regulated as a business development company ( “ BDC ” ) on October 19 , 2004 , 5G Wireless has , among other things , issued rights to purchase its securities without expiration to non - security holders , issued ...

SEC Docket

SEC Docket


Recent Trends in Data Science and Soft Computing

5 Conclusions The 5G network planning for urban Taiz city has been proposed by using mm-Wave wireless access network technique. In addition, the densification of 5G wireless access network is proposed in the dense areas in Taiz city, ...

Recent Trends in Data Science and Soft Computing

Recent Trends in Data Science and Soft Computing

This book presents the proceedings of the 3rd International Conference of Reliable Information and Communication Technology 2018 (IRICT 2018), which was held in Kuala Lumpur, Malaysia, on July 23–24, 2018. The main theme of the conference was “Data Science, AI and IoT Trends for the Fourth Industrial Revolution.” A total of 158 papers were submitted to the conference, of which 103 were accepted and considered for publication in this book. Several hot research topics are covered, including Advances in Data Science and Big Data Analytics, Artificial Intelligence and Soft Computing, Business Intelligence, Internet of Things (IoT) Technologies and Applications, Intelligent Communication Systems, Advances in Computer Vision, Health Informatics, Reliable Cloud Computing Environments, Recent Trends in Knowledge Management, Security Issues in the Cyber World, and Advances in Information Systems Research, Theories and Methods.

Software Defined Mobile Networks SDMN

SDN techniques have been seen as promising enablers for this vision of carrier cloud, which will likely play a crucial role in the design of 5G wireless networks. Accordingly, the future SDN‐enabled 5G communications have to properly ...

Software Defined Mobile Networks  SDMN

Software Defined Mobile Networks SDMN

This book describes the concept of a Software Defined Mobile Network (SDMN), which will impact the network architecture of current LTE (3GPP) networks. SDN will also open up new opportunities for traffic, resource and mobility management, as well as impose new challenges on network security. Therefore, the book addresses the main affected areas such as traffic, resource and mobility management, virtualized traffics transportation, network management, network security and techno economic concepts. Moreover, a complete introduction to SDN and SDMN concepts. Furthermore, the reader will be introduced to cutting-edge knowledge in areas such as network virtualization, as well as SDN concepts relevant to next generation mobile networks. Finally, by the end of the book the reader will be familiar with the feasibility and opportunities of SDMN concepts, and will be able to evaluate the limits of performance and scalability of these new technologies while applying them to mobile broadb and networks.

Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems

Machine Learning for 5G/B5G Mobile and Wireless Communications: Potential, Limitations, and Future Directions. IEEE Access, 7. 8. Zhang, C., P. Patras, and H. Haddadi. (2019). Deep Learning in Mobile and Wireless Networking: A Survey.

Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems

Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems

This book offers the latest advances and results in the fields of Machine Learning and Deep Learning for Wireless Communication and provides positive and critical discussions on the challenges and prospects. It provides a broad spectrum in understanding the improvements in Machine Learning and Deep Learning that are motivating by the specific constraints posed by wireless networking systems. The book offers an extensive overview on intelligent Wireless Communication systems and its underlying technologies, research challenges, solutions, and case studies. It provides information on intelligent wireless communication systems and its models, algorithms and applications. The book is written as a reference that offers the latest technologies and research results to various industry problems.

Performance Analysis in Wireless HetNets Traffic Energy and Secrecy Considerations

[1] EU Digital Economy & Society Commission, “5G Manifesto for timely deployment of 5G in Europe,” 5G Manifesto, Jul. 2016. [2] Cisco, “Cisco visual networking index: Global mobile data traffic forecast update 2014-2019,” White Paper, ...

Performance Analysis in Wireless HetNets  Traffic  Energy  and Secrecy Considerations

Performance Analysis in Wireless HetNets Traffic Energy and Secrecy Considerations

To this day, most of the communication networks are characterized by a "monolithic" operating approach. Network elements are configured and operate without any reconfiguration for long time periods. Softwarization, whereby dedicated elements are being replaced by more general-purpose devices, has been lately challenging this existing approach. Virtualizing the infrastructure through the softwarization can provide significant benefits to end users and operators, supporting more flexible service deployment, providing real time monitoring and operational changes. In Paper I we study a novel allocation technique and traffic optimization process for the access network. Cellular network technologies (i.e. UMTS, LTE, LTE-A) will coexist with non-cellular small cells and offload traffic from cellular to non-cellular networks mainly operating in 3GPP Wi-Fi (IEEE 802.11 standards). This is a scenario for indoor wireless access implementations where offloading mechanisms can improve the QoS offered by the operators, and reduce the traffic handled by the access fronthaul. The analysis of a novel optimization algorithm exhibited a holistic solution for access-core interworking where LWA (LTE-WiFi Aggregation) offers improved performance for the end users. In order to optimize core network operations factors such as the operational costs should be addressed. Following this approach in Paper II we analysed how environmental factors (e.g. temperature, humidity) can affect the power consumption of core network data centers (cooling systems). By applying machine learning techniques using data from a data center, we were able to forecast the power consumption based on to atmospheric weather conditions and analyse its accuracy. Optimizing the access network operations and the interworking (resource allocation, scheduling, offloading) can lead to highly configurable and secure operations. These have been factors of great concern as wireless connectivity increases in denser populated areas. In Paper III we examine the physical layer secrecy aspects of a collaborative small cell network in the presence of parallel connections and caching capabilities at the edge nodes. Using tools from the probability theory, we examined how the power allocation for the transmissions can ensure secrecy in the presence of an eavesdropper.

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