2 1 The innovative transport systems and the CityMobil project 10 1.1 The research questions 10 2 The state of art in the field of automatic transport systems 12 2.1 Case studies and demand studies for innovative transport systems 12 3 The design and implementation of surveys 14 3.1 Definition of experimental design 14 3.2 Questionnaire design and delivery 16 3.3 First analyses on the collected sample 18 4 Calibration of Logit Multionomial demand models 21 4.1 Methodology 21 4.2 Calibration of the “full” model. 22 4.3 Calibration of the “final” model 24 4.4 The demand analysis through the final Multinomial Logit model 25 5 The analysis of interaction between the demand and socioeconomic attributes 31 5.1 Methodology 31 5.2 Application of Mixed Logit models to the demand 31 5.3 Analysis of the interactions between demand and socioeconomic attributes through Mixed Logit models 32 5.4 Mixed Logit model and interaction between age and the demand for the CTS 38 5.5 Demand analysis with Mixed Logit model 39 6 Final analyses and conclusions 45 6.1 Comparison between the results of the analyses 45 6.2 Conclusions 48 6.3 Answers to the research questions and future developments 52

The European commission

From the Publisher:
An agent is an entity with domain knowledge, goals and actions. Multi-agent systems are a set of agents which
interact in a common environment. Multi-agent systems deal with the construction of complex systems involving multiple agents and their coordination. A multi-agent system (MAS) is a distributed computing system with
autonomous interacting intelligent agents that coordinate their actions so as to achieve its goal(s) jointly or competitively.

Introduction to Multiagent Systems

Home PURPOSE OF THE CENTER: To develop the center to address state-of-the-art research, create innovating educational programs, and support technology transfers using commercially viable results to assist the Army Research Laboratory to develop the next generation Future Combat System in the telecommunications sector that assures prevention of perceived threats, and Non Line of Sight/Beyond Line of Sight lethal support.

How to… home page

Multi-access edge computing (MEC) is an emerging ecosystem, which aims at converging telecommunication and IT services, providing a cloud computing platform at the edge of the radio access network MEC offers storage and computational resources at the edge, reducing latency for mobile end users and utilizing more efficiently the mobile backhaul and core networks This paper introduces a survey on MEC and focuses on the fundamental key enabling technologies It elaborates MEC orchestration considering both individual services and a network of MEC platforms supporting mobility, bringing light into the different orchestration deployment options In addition, this paper analyzes the MEC reference architecture and main deployment scenarios, which offer multi-tenancy support for application developers, content providers, and third parties Finally, this paper overviews the current standardization activities and elaborates further on open research challenges

/pdf/on-multi-access-edge-computing-a-survey-of-the-emerging-5g-q09cwte3qi.pdf

On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration

The technologies, architectures, and methodologies traditionally used to develop distributed applications exhibit a variety of limitations and drawbacks when applied to large scale distributed settings (e.g., the Internet). In particular, they fail in providing the desired degree of configurability, scalability, and customizability. To address these issues, researchers are investigating a variety of innovative approaches. The most promising and intriguing ones are those based on the ability of moving code across the nodes of a network, exploiting the notion of mobile code. As an emerging research field, code mobility is generating a growing body of scientific literature and industrial developments. Nevertheless, the field is still characterized by the lack of a sound and comprehensive body of concepts and terms. As a consequence, it is rather difficult to understand, assess, and compare the existing approaches. In turn, this limits our ability to fully exploit them in practice, and to further promote the research work on mobile code. Indeed, a significant symptom of this situation is the lack of a commonly accepted and sound definition of the term mobile code itself. This paper presents a conceptual framework for understanding code mobility. The framework is centered around a classification that introduces three dimensions: technologies, design paradigms, and applications. The contribution of the paper is two-fold. First, it provides a set of terms and concepts to understand and compare the approaches based on the notion of mobile code. Second, it introduces criteria and guidelines that support the developer in the identification of the classes of applications that can leverage off of mobile code, in the design of these applications, and, finally, in the selection of the most appropriate implementation technologies. The presentation of the classification is intertwined with a review of state-of-the-art in the field. Finally, the use of the classification is exemplified in a case study.

/pdf/understanding-code-mobility-1wdaf22ju4.pdf

Understanding code mobility

Next Generation Mobile Networks (NGMNs) constitute the evolution of mobile network architectures towards a common IP based network. One of the main research topics in wireless networks architectures is QoS control and provisioning. Different approaches to this issue have been described. The introduction of the NGMNs is a major trend in telecommunications, but the heterogeneity of wireless accesses increases the challenges and complicates the design of QoS control and provisioning. This chapter provides an overview of the standard architectures for QoS control in Wireless networks (e.g. UMTS, WiFi, WiMAX, CDMA2000), as well as, the issues on this all-IP environment. It provides the state-ofthe-art and the latest trends for converging networks to a common architecture. It also describes the challenges that appear in the design and deployment of QoS architectures for heterogeneous accesses and the available solutions. The Evolved Core from 3GPP is analyzed and described as a suitable and promising solution addressing these challenges. DOI: 10.4018/978-1-61520-680-3.ch026

Evolution of QoS Control in Next Generation Mobile Networks

With the accelerating development and deployment of 5G Non-Public Networks (NPNs), many customized and private networks, providing services to local users and devices, are being installed across the world. To fully use the capacity of these networks, their services should also be reachable from other locations outside their limited coverage area. The only solution provided by 5G and beyond-5G 3GPP standardization at the current moment is based on roaming interfaces, which presumes that the NPN operator makes costly and complex peering roaming agreements with many different large scale and NPN operators. This article proposes an alternative to the roaming mechanism based on an Over-The-Top (OTT) peering approach. Similar to the non-3GPP integration, the connectivity in the visited network is transparently used to establish a binding with the home domain. Furthermore, the proposed architecture is implemented and evaluated in a basic form using Fraunhofer 5G Playground, a comprehensive 5G testbed network using commercial base stations and the Fraunhofer Open5GCore in conjunction with standard Android OS devices. Showing that such a solution represents a cost-effective, reduced functionality and relatively easy to implement solution outperforming the roaming approach in both dynamicity and ease of management.

Extended Coverage without Roaming for beyond 5G Non-Public Networks

By comprehending the requirements of 6G network management systems and by anticipating how current network management trends need to evolve, this work sets the floor and provides an overview and architecture for AI-/ML- and Intent-based organic network management. The commonalities of current visions of upcoming 6G networks, currently foreseen technologies to be utilized within 6G, anticipated network performance parameters, targeted 6G use cases and deployment types are analyzed. Candidate technologies that have the potential of meeting the discussed network management challenges, are identified. We provide an overview of how AI/ML is already used for autonomic network management and how Intent-based Networking provides the required means for improved administration and multi-factorial network optimizations. Next, the AI/ML and Intent-based organic network management is introduced, and an overview of its capabilities provided. Finally, we present an organic network management reference implementation.

How Organic Networking meets 6G Campus Network Management Challenges

Voice/data integration — a snapshot of intelligent networks and internet convergence

The 3GPP are currently finalizing their Evolved Packet System (EPS) with the Evolved Packet Core (EPC) central to this framework The EPC is a simplified, flat, all IP-based architecture that supports mobility between heterogeneous access networks and incorporates an evolved QoS concept based on the 3GPP Policy Control and Charging (PCC) framework The IP Multimedia Subsystem (IMS) is an IP service element within the EPS, introduced for the rapid provisioning of innovative multimedia services The evolved PCC framework extends the scope of operation and defines new interactions – in particular the S9 reference point is introduced to facilitate inter-domain PCC communication This paper proposes an enhancement to the IMS/PCC framework that uses SIP routing information to discover signaling and media paths This mechanism uses standardized IMS/PCC operations and allows applications to effectively issue resource requests from their home domain enabling QoS-connectivity across multiple domains Because the mechanism operates at the service control layer it does not require any significant transport layer modifications or the sharing of potentially sensitive internal topology information The evolved PCC architecture and inter-domain route discovery mechanisms were implemented in an evaluation testbed and performed favorably without adversely effecting end user experience

/pdf/policy-based-middleware-for-qos-management-and-signaling-in-53jq1ityb8.pdf

Thomas Magedanz

Papers

Evolution of QoS Control in Next Generation Mobile Networks

Extended Coverage without Roaming for beyond 5G Non-Public Networks

How Organic Networking meets 6G Campus Network Management Challenges

Voice/data integration — a snapshot of intelligent networks and internet convergence

Policy-Based Middleware for QoS Management and Signaling in the Evolved Packet System