In accordance with the latest research, this book presents several segments that describe the direction and techniques together with actual implementation of new methods for controlling and improving of the quality of services in future generation mobile networks. It gives review of the architectures of the future generations of networks, it performs analysis of network architectures in heterogeneous networks and the ways radio resource management is achieved in each of them. The main focus was given on the heterogeneous wireless networks, through which a new proposal is presented for their architecture of internetwork operation using the Internet model for interoperability between radio access technologies that participate in the construction of heterogeneous networks. The proposed new architecture in this book defines the unique ecosystem of inter-network operation between different RAT's that form next generation mobile networks. Furthermore, the book defines a new algorithm for selecting of access network in heterogeneous wireless environment by using algorithms from artificial intelligence. This proposal can be base for implementation of new 5G architecture.

"This book further explores various issues and proposed solutions for the provision of Quality of Service (QoS) on the wireless networks"--Provided by publisher.

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.

Next generation wireless and mobile communication systems are rapidly evolving to satisfy the demands of various network users. Due to the great success and enormous impact of IP networks, high-speed transmission is now possible for both indoor and outdoor wireless systems, internet access and web browsing have become the ruling paradigm for next generation system. It is envisioned that new generation wireless networks and hand-held terminals will support a wide variety of multimedia services such as multimedia web browsing, video and news on demand, mobile office system, stock market information, and so on, to mobile users anywhere, anytime in an uninterrupted and seamless way with low-powered handsets. The characteristics of wireless links, as well as the desire to maintain connectivity while on the move, offer significant challenges to provisioning quality of service and the related performance is of central interest. Since the resources (such as time, frequency and code) in the wireless segments of such networks are very limited, over-dimensioning the network resource is equivalent to poor capital investment, while congestion at busy hours could mean lost calls and lost revenues. It is therefore critical for wireless network designers to utilise these resources efficiently and effectively. In response to the above demand for next generation wireless and mobile communication systems, this book aims at providing a timely and concise reference of the current activities and findings in the relevant technical fields. The primary goal is to address the key technical issues pertaining to the integrated new systems and present novel technical contributions. The book contains 14 invited chapters from prominent researchers working in this area around the world.

The ever-evolving wireless technology industry is demanding new technologies and standards to ensure a higher quality of experience for global end-users. This developing challenge has enabled researchers to identify the present trend of machine learning as a possible solution, but will it meet business velocity demand? Next-Generation Wireless Networks Meet Advanced Machine Learning Applications is a pivotal reference source that provides emerging trends and insights into various technologies of next-generation wireless networks to enable the dynamic optimization of system configuration and applications within the fields of wireless networks, broadband networks, and wireless communication. Featuring coverage on a broad range of topics such as machine learning, hybrid network environments, wireless communications, and the internet of things; this publication is ideally designed for industry experts, researchers, students, academicians, and practitioners seeking current research on various technologies of next-generation wireless networks.

"This book offers cutting edge approaches for the provision of quality of service in wireless local area networks"--Provided by publisher.

Recent evolution of communication networks comprises of different segments and technologies, where each segment maybe implemented using different QoS. Further, the proposed all-IP core infrastructure of the future networks will offer varying QoS level multimedia services to the users. However, IP being a best effort service, seamless provision of end-to-end QoS guarantees is extremely important. In today's world, devices with multiple networking capabilities is quite common. The traditional approach in networking includes grouping identical traffic and allocating them to the network that has the maximum available data rate. This creates unbalanced traffic load in the network, leading to poor utilization of the associated resources. This problem can be greatly alleviated if the traffic can be allocated intelligently to the networks. For fair traffic distribution, we modeled the AP of each network as a single queuing server. Then, suitable equations and algorithms are designed to divide the incoming traffic flow into multiple subflows and allocated to the APs based on their available data rates. Network selection in a heterogeneous cognitive radio wireless Network is a challenging task, since the users need to select the appropriate channels of the network in addition to the network itself. The varying levels of interference experienced by the secondary user (SUs) is due to the presence of primary user (PU)s in the adjacent channels. Hence, SUs transmitting highly sensitive data must find a channel that is interference free. In this dissertation, we develop a novel network and channel selection scheme that categorizes both the user applications and the network channels depending on their sensitivity level for interference and select them using a bipartite graph matching algorithm. The effectiveness of cognitive radios is based on opportunistic access of the licensed channels by SUs while protecting the PU transmission. But channel sensing incurs cost in terms of time overhead and energy consumption. However, infrequent sensing also results in loss of transmission opportunity for the SUs. Hence, an interesting and challenging question arise: when should the SU sense the channel, sleep or transmit, to minimize the total cost? In this dissertation, we developed a novel scheme for deriving the optimal inter-sensing duration in a cognitive radio network, on the requirement of protecting the PUs' communications while minimizing the cost for the SUs. The scheme has been presented for both non-erroneous and erroneous channel sensing conditions. Handling the "mobile data tsunami" in the future and providing indoor coverage is a significant challenge for the operators. The answer is LTE femtocells. However, limited spectrum availability in the cellular networks causes severe interference in the neighboring femtocell users that are transmitting in the same radio band. In densely deployed environments, interference problems in co-channel femtocells causes significant degradation in performance. In this dissertation, we proposed a CASFR scheme, that assigns distinct set of PRBs to each interfering femtocells in the downlink. In the uplink we proposed a PSE algorithm to further reduce any interference that may remain after performing CASFR. Finally, the topics for future work have been clearly identified.

This book provides the first overview of the service technologies available to telecoms operators working in a post-convergence world. Previous books have focused either on computer networks or on telecoms networks. This is the first to bring the two together and provide a single reference source for information that is currently only to be found in disparate journals, tool specifications and standards documents. In order to provide such broad coverage of the topic in a structured and logical fashion, the book is divided into 3 parts. The first part looks at the underlying network support for services and aims to explain the technology that makes the user-visible services possible. This section covers multimedia networking, both traditional (legacy) and future (softswitch) call processing, intelligent networks, the Internet, and Wireless networks. Part 2 deals with how these services may be analysed and managed. Chapters cover topics such as commercial issues, service management, quality of service, security, standards and APIs. Part 3 concludes the book by looking ahead at evolving technologies and more speculative possibilities, discussing the kinds of services that may be possible in the future and the technologies that will support them. * Focuses is on how the technology supports the services, rather than on technology for its own sake * Contributors drawn from both academia and industry (companies such as Marconi, BT, Telcordia, Cisco, Analysys) to give both theoretical and real-world perspectives * Unique singe-reference source for a wide range of material currently found only in disparate papers, specs and documentation * Covers brand new technologies such as JAIN, JTAPI, Parlay, IP, multimedia networking, active networks, WAP, wireless LANs, agent-based services, etc.

Fourth-Generation Wireless Networks: Applications and Innovations presents a comprehensive collection of recent findings in access technologies useful in the architecture of wireless networks.

The Internet is subject to permanent modi?cations and to continuous restr- turing. This is primarily due to the tremendous rise in demand for bandwidth by the ever increasing number of users. When compared to the early years of the Internet the quality of the services o?ered had to be signi?cantly improved in di?erent respects (delay, network and service availability, jitter,. . . )inorder to satisfy the needs of many new applications. Within the last decade two new developments have contributed to many new opportunities, as well as to a need for intensive research and development: – the increased mobility of users together with the desire for ubiquitous hi- quality access to all o?ered services, at reasonable cost; – the use of wireless communication. Despite their relatively low capacity (when compared with ?xed backbone n- works) the use of radio links supports the ubiquitous availability of Internet services in a quasiperfect way. A considerable amount of research and development activities are currently - ing on worldwide in order to adapt Internet services to the particular needs of mobile users and of wireless communication links. These questions were - tensively discussed at the ?rst workshop organized by the EURO-NGI Network of Excellence (‘Next Generation Internet’), which has been funded by the - ropean Union since January 2004 under their IST programme.