WIRELESS WORLD RESEARCH FORUM INTRODUCTIONBeyond-third-generation (B3G) systems have been envisaged as an evolution and convergence of mobile communications systems and IP technologies to offer a multitude of services over a variety of access technologies. To fulfill the vision, it is necessary to understand the requirements with respect to the support of heterogeneity in network accesses, communication services, mobility, user devices, and so on. It is equally important to promote the necessary research in networking technology by providing a guiding framework of research areas and technical issues with priority. The new architectures and technologies will have to address the fundamental assumptions and requirements that govern the design. All these are being tackled by the Cooperative Network working group (CoNet) of the Wireless World Research Forum (WWRF), which is working on a series of white papers outlining B3G visions and roadmap, architectural principles, research challenges, and candidate approaches. In the remainder of this article CoNet's main objectives are outlined, while we examine the most important elements of CoNet's architectural principles. Additionally, we address the flamboyant research challenges in cooperative networks and try to give a glimpse of what we think would govern their design and encompass their futuristic form by introducing the main network components and technologies. This is mainly accomplished by focusing on three "hot concepts": mobility management, multiple access, and moving networks. ABSTRACTBeyond-3G (B3G) systems have been envisaged as an evolution and conv∂ ergence of mobile/wireless communication systems and IP technologies to offer a multitude of services over a variety of access technologies. To fulfill the vision, it is necessary to understand the requirements with respect to the support of heterogeneity in network accesses, communication services, mobility, user devices, and so on. Besides, it is equally important to promote the necessary research in networking technology by providing a guiding framework of research areas and technical issues with priority. The new architectures and technologies will have to address the fundamental assumptions and requirements that govern the design. All these issues are being tackled by the Cooperative Network working group (CoNet) of WWRF; the group is working on a series of white papers outlining B3G visions and roadmap, architectural principles, research challenges, and candidate approaches. This article outlines the CoNet concept, architectural principles, and guidelines for research into cooperative networks assuming that the B3G systems will be built over generic IP networking technologies. The article also presents the key research challenges, research framework, and major network components and technologies. The key points are that the system should be layered on demand, encourage reuse of independent modularized functional blocks, support multiple services and service creation, ensure consistent end-to-end connectivi...

5G represents the next generation of communication networks and services, and will bring a new set of use cases and scenarios. These in turn will address a new set of challenges from the network and service management perspective, such as network traffic and resource management, big data management and energy efficiency. Consequently, novel techniques and strategies are required to address these challenges in a smarter way. In this paper, we present the limitations of the current network and service management and describe in detail the challenges that 5G is expected to face from a management perspective. The main contribution of this paper is presenting a set of use cases and scenarios of 5G in which machine learning can aid in addressing their management challenges. It is expected that machine learning can provide a higher and more intelligent level of monitoring and management of networks and applications, improve operational efficiencies and facilitate the requirements of the future 5G network

It is expected that the fifth generation mobile networks (5G) will support both human-to-human and machine-to-machine communications, connecting up to trillions of devices and reaching formidable levels of complexity and traffic volume. This brings a new set of challenges for managing the network due to the diversity and the sheer size of the network. It will be necessary for the network to largely manage itself and deal with organisation, configuration, security, and optimisation issues. This paper proposes an architecture of an autonomic self-managing network based on Network Function Virtualization, which is capable of achieving or balancing objectives such as high QoS, low energy usage and operational efficiency. The main novelty of the architecture is the Cognitive Smart Engine introduced to enable Machine Learning, particularly (near) real-time learning, in order to dynamically adapt resources to the immediate requirements of the virtual network functions, while minimizing performance degradations to fulfill SLA requirements. This architecture is built within the CogNet European Horizon 2020 project, which refers to Cognitive Networks

The main types of sheet-glass cutting are examined. Mechanical roller cutting, being the most widely used cutting method at the present, is described in greatest detail. The effect of the roller geometry and load on the edge quality is explained. A general description of the hydro-abrasive and laser cutting technologies is also presented. The advantages and disadvantages of the existing technologies are indicated.

In this paper we propose a layered framework for charging QoS-enhanced IP services with policy based configuration of its layers. As an example architecture we present our implementation-Value Added IP Charging and Accounting Service (VIPCAS). We further concentrate on VIPCAS elements for policies and data exchange. As flexible data structure for exchange of accounting information, we propose the Premium IP Network Accounting Record (PIP-NAR), which is suitable for a variety of charging schemes (e.g. charging of reserved and used resources), and which also makes providerspecific extensions possible. We specify the Tariff Formula Language (TFL) for representing tariff policies, and the Charging Information Protocol (CIP) for distributing tariff information expressed in TFL. For a fair charging of IP Multicast services, cost sharing functions should be supported at both the accounting and the charging layer. We evaluate different approaches in this area which support receiver heterogeneity with regard to the reserved QoS.