Veröffentlichungen

Richerzhagen, Zeiger, Schröder, Tammen, Magedanz, Lambrecht, Ludwig, Bohn, Scheinert, Abicht, Ramos-Cantor, Senk: „Open and Modular 5G Campus Networks: Use Cases, Requirements, and Architecture“. Whitepaper des Projekts CampusOS, Richerzhagen, Zeiger, Steffens (Hrsg.), 2024

Doktorarbeit, Universität der Bundeswehr München, Neubiberg, Jun 2022

Abstract This thesis is about a wireless communication systems in a niche, which is data transmission over highly time-variant, frequency selective channels. The system has to be resilient against jamming and requires a power-efficient modulation scheme which can be used with non-linear transmit power amplifiers. The optimum incoherent block detector uses average channel state information of the Ricean WSSUS fading channel. It is extended towards DSSS CPM and predicts, in every time instant and state transition of a Viterbi algorithm, the next receive sample from previous ones given the hypothesis about the transmitted bits. In contrast to classic systems, the detector does not suffer from increased fast fading due to larger spreading factors. Only then, the benefits of spread spectrum communication can be maintained over doubly selective channels.

56th CIRP International Conference on Manufacturing Systems 2023

Abstract

This study demonstrates the result of a systematic literature review using the preferred reporting items for systematic review and meta-analysis (PRISMA) method. The main objective is to find issues that still need research on heterogeneous communication, especially 5G cellular and localization networks for small and medium-sized enterprises (SMEs) in the context of Industry 4.0. The research query is formulated based on the research questions and implemented in three selected databases. Then, the query results are categorized into six sections. Consequently, open issues addressed by the assessed papers in five general categories are analyzed and discussed.

2023 IEEE International Conference on Omni-layer Intelligent Systems (COINS)

Abstract

Road traffic significantly increased in the last decades. The avoidance of accidents and the continuity of traffic flow are significant challenges for road mobility. In this paper, a real-time Internet of Things (IoT) architecture is presented for these current road traffic challenges. The presented architecture takes advantage of the emerging 5G mobile technology and relies on infrastructure components so that the presented architecture can be integrated into city infrastructure to become smarter and provide benefits to citizens. A collision warning service is being implemented to warn road users of imminent collisions. The parallel traffic flow optimization will also enable the prioritization of highlighted traffic partici-pants, such as emergency vehicles. By prioritizing pedestrians, bicycles, e-bikes and buses, for example, it will also be possible to achieve specific traffic and climate policy goals. An according smartphone app allows the resulting advantages to be used in the short term. Furthermore, additional actuators such as displays and signal transmitters will integrate all road users, regardless of the specific app usage. By using 5G, these components will also be implemented quickly, flexibly and reliably as infrastructure IoT devices. The paper concludes with a presentation of a research project in which these solutions are currently being implemented.

56th CIRP International Conference on Manufacturing Systems 2023

Abstract

The mobile manipulator is a relatively recent development in the robotics domain. It is a type of robot system that extends the manipulation capabilities of a robotic arm by the mobility capabilities of a mobile platform. As a result, mobile manipulators promise to provide a wider usage of manipulators (for example, by extending their reach) and to enable automation of use cases that are still manually performed. They can, for instance, automate repetitive tasks, freeing human workers to focus on more valuable tasks. They can also be deployed to perform dangerous or difficult tasks, reducing the risk of workplace injuries. Additionally, using mobile manipulators can help meet the growing demand for fast and flexible production processes, enabling them to better compete in a rapidly changing market. However, integrating these systems bears complexity, high acquisition costs, and unsolved safety and security challenges. Therefore, this new approach is only beginning to be adopted in the manufacturing industry. Especially small and medium-sized companies (SMEs) suffer from these challenges, as they usually have fewer resources. However, mobile manipulators are a valuable tool to enhance their competitiveness and profitability in various industries. In order to unleash these benefits, this paper provides a comprehensive review of application cases of mobile manipulators within smart factory setups. It focuses on specific requirements and advantages for SMEs.

Leading manufacturing systems transformation – Proceedings of the 55th CIRP Conference on Manufacturing Systems (CMS), Lugano, Jun 2022

Abstract Manufacturing machines need to be re-tooled approximately 15 times per week and in the future even more often because of decreasing batch sizes and increasing short-cyclic demands. Collaborative robots promise to offer a versatile automation approach for priorly manual tasks in small and medium-sized enterprises. However, their configuration needs to change at least as often as the re-tooling rate because different parts are produced by the machines or might require different handling in general. Therefore, it would be great if robots and autonomous factory systems, in general, would automatically adjust to these changes in an intelligent way. In our approach, we propose a context-aware and location-based approach for agile manufacturing, in which the manufacturing plant parts, especially the collaborative robots, store i) their constellation, ii) their configuration, and iii) their adaptation strategy, and can react to re-tooling changes and even re-location changes adaptively. For example, moving one collaborative robot to a different location next to the production machine will automatically load its new configuration and consult with the operator on the adaptation strategy (i.e., the safety requirements). Such an approach requires precise location information. To realize the localization and the network capabilities, we propose to use localization based on heterogene localization technologies like ultrasound and wireless communications. We suggest a wireless small-cell-based approach around a nomadic 5G core network, which integrates multiple wireless and wired communication technologies as well as localization support combined with an intelligent asset management strategy. Such nomadic cells can operate on an island without a heavy operator backend and optimize end-to-end communication. Furthermore, these small cells can federate with each other and thus extend their coverage when getting into each other's range.

In: 16th European Conference on Antennas and Propagation (EuCAP 2022), Madrid/Spanien, 2022/03/27

Abstract

In the present paper we introduce simultaneous multi-band measurements at sub-6 GHz and two mm-wave bands with the objective of characterizing propagation for multi-band channel modelling purposes in industry scenarios. The marginal power profiles show that the dominant scatterers are common in the different frequencies. In addition, a relation of decreasing average delay and angular spreads with increasing frequency is observed. The different measured parameters are contrasted with the 3GPP model for indoor factories.

International Conference on System-Integrated Intelligence, Advances in System-Integrated Intelligence. SYSINT 2022. Lecture Notes in Networks and Systems, vol 546. Springer, 2022

Abstract

5G promises to shift Industry 4.0 to the next level by allowing flexible production. However, many communication standards are used throughout a production site, which will stay so in the foreseeable future. Furthermore, localization of assets will be equally valuable in order to get to a higher level of automation. This paper proposes a reference architecture for a convergent localization and communication network for smart manufacturing that combines 5G with other existing technologies and focuses on high-mix, low-volume applications, particularly at small and medium-sized enterprises. The architecture is derived from a set of functional requirements, and we describe different views on this architecture to show how the requirements can be fulfilled. It connects private and public mobile networks with local networking technologies to achieve a flexible setup addressing many industrial use cases.