ThC5 – Industrial Communications
Thursday, 20 June 2019, 14:00-15:30, Room 5
Session chair: Jara Suárez de Puga (Universitat Politècnica de València, Spain)
Dynamic Polarimetric Wideband Channel Sounding in an Elevator Shaft
Pasi Koivumäki, Mikko Heino and Katsuyuki Haneda (Aalto University, Finland); Mikko Puranen and Johanna Pesola (KONE Corporation, Finland)
We report results from dynamic polarimetric wideband channel sounding in an elevator shaft for the first time in the literature. Transmitter and receiver are fixed to a roof of an elevator car and top of the elevator shaft, respectively, to test radio link connectivity for infotainment display inside the car. To this end, we develop a real-time wideband channel sounder based on software-defined radios, capable of 160 MHz instantaneous bandwidth with varying carrier frequency from a few hundred MHz to 6 GHz. The sounder does not provide sufficient phase synchronization over time, but delay synchronization was found stable for estimation of absolute delay and Doppler spectrum. The results show significantly higher pathloss at 2:45 GHz for electric fields parallel to the longer side of the shaft than to the shorter side due to a break point. The power delay and Doppler spectrum showed significant amount of scattering for short transmitter-receiver separation due to surrounding clutters. The multipath richness decreased as the separation is longer. For the fixed power threshold in estimating a delay spread, 2:45 GHz channels had a higher estimates than 5:8 GHz when the car is at the top of shaft, while it was lower for the rest of car locations in the shaft.
Putting 5G into Production: Realizing a Smart Manufacturing Vertical Scenario
Stefan Schneider and Manuel Peuster (Paderborn University, Germany); Daniel Behnke and Marcel Müller (Weidmüller Group, Germany); Patrick-Benjamin Bök (Weidmueller Group, Germany); Holger Karl (Paderborn University, Germany)
As 5G and network function virtualization (NFV) are maturing, it becomes crucial to demonstrate their feasibility and benefits by means of vertical scenarios. While 5GPPP has identified smart manufacturing as one of the most important vertical industries, there is still a lack of specific, practical use cases. Using the experience from a large-scale manufacturing company, Weidmüller Group, we present a detailed use case that reflects the needs of real-world manufacturers. We also propose an architecture with specific network services and virtual network functions (VNFs) that realize the use case in practice. As a proof of concept, we implement the required services and deploy them on an emulation-based prototyping platform. Our experimental results indicate that a fully virtualized smart manufacturing use case is not only feasible but also reduces machine interconnection and configuration time and thus improves productivity by orders of magnitude.
Multi-Robot Cooperative Patrolling Algorithm with Sharing Multiple Cycles
Youngtaek Hong, Yeosun Kyung and Seong-Lyun Kim (Yonsei University, Korea)
In this paper, a multiple Cycle Sharing Algorithm, CSA, is proposed to solve Multi-Robot Patrolling Problem, MRPP. In MRPP, vertices in graph are visited by R robots continuously. The evaluation metric of the idleness of the vertices was considered to evaluate the performance of algorithm. Minimizing the average graph idleness and the graph idleness standard deviation was covered because the smaller average idleness means robots visit vertices more frequently and the smaller graph idleness standard deviation means robots visit vertices more regularly. The most effective way to minimize standard deviation is that finds a Hamiltonian cycle in graph. A Hamiltonian cycle is a cycle that visits each vertex exactly once, except for the vertex that is both the start and end, which is visited twice. It is known that finding the minimum cost Hamiltonian cycle, as known as Traveling Salesman Problem, is NP-complete problem which means that if graph size becomes large, finding the minimum cost cycle will require longer time by polynomial. However, by partitioning graph properly into multiple sections with cooperative robots, calculation time can be reduced remarkably.
Achieving Millimeter Precision Distance Estimation Using Two-Way Ranging in the 60 GHz Band
Vladica Sark, Nebojsa Maletic and Marcus Ehrig (IHP, Germany); Jesús Gutiérrez (IHP – Leibniz-Institut für Innovative Mikroelektronik, Germany); Eckhard Grass (IHP & Humboldt-University Berlin, Germany)
The large channel bandwidth of about 2 GHz per channel available in the 60 GHz ISM band enables millimeter precision ranging and positioning. The high localization precision, combined with the multi-gigabit data throughputs achievable in this band represents the launch pad for the development of many new applications. In this paper, we propose an approach for implementation of high-precision ranging in the 60 GHz band. This approach can be also used for achieving precise localization. Our approach uses two way ranging (TWR) for distance estimation between two wireless nodes. It requires minimal hardware implementation effort and performs all the necessary processing in software. The proposed approach was implemented on a custom baseband processing unit with commercial 60 GHz analog frontends. Tests were performed indoors in a lab environment. The obtained results show that a precision and accuracy of less than 5 mm can be achieved. This excellent result outperforms other similar solutions.