APP 2

APP2 – 5G vertical application areas

Wednesday, 20 June 2018, 16:00-17:30, Štih hall
Session chair: Diego Lopez (Telefonica I+D, Spain)

 
16:00 – Vertical Use Cases in the Finnish 5G Test Network

Teemu Kanstren (VTT Technical Research Centre of Finland, Finland); Jukka Mäkelä (VTT Technical Research Centre of Finland Ltd, Finland); Mikko Uitto (VTT Technical Research Centre of Finland, Finland); Olli Apilo (VTT, Finland); Ari T. Pouttu and Olli Liinamaa (Centre for Wireless Communications University of Oulu, Finland); Giuseppe Destino, Petri Kivinen and Arto Matilainen (University of Oulu, Finland)
The Finnish 5G Test Network supports (5GTN) development of new network technologies, and services and applications on top of these. It is developed and operated in collaboration with partners from different domains such as research, telecommunications, internet of things, software services, and data analytics. 5GTN is designed to support building products and services on top of latest and upcoming network technologies. A current example of this is 5G its defining properties, such as higher datarates, lower delays, and dense deployments. In this paper, we describe a set of use cases from different domain verticals, built on top of 5GTN, and the experiences so far from those use cases.

 

 

16:18 – Use Cases and Communications Architecture for 5G-enabled Road Safety Services

Tiia Ojanperä (VTT Technical Research Centre of Finland, Finland); Jukka Mäkelä (VTT Technical Research Centre of Finland Ltd, Finland); Olli Mämmelä, Mikko Majanen and Ossi Martikainen (VTT Technical Research Centre of Finland, Finland)
Efficient and safe road network is an essential requirement for the modern society. This paper presents use cases and architecture for novel 5G-enabled road safety services. The use cases aim at preventing traffic accidents, optimizing road maintenance, and enabling autonomous driving by delivering focused time-critical services to vehicles and their drivers as well as to road operators and 3rd party organizations. The services rely on real-time sensor and IoT data collected from the vehicles and roadside infrastructure. The paper proposes a generic system architecture for the realization of the use cases and studies the implementation of vehicular data communications within the architecture. The resulting data management framework is evaluated by comparing selected protocol implementations in order to find the best practices for its realization.

 

 

16:36 – Connected Vehicles Coordination: A Coalitional Game-Theory Approach

Jose Angel Leon Calvo and Rudolf Mathar (RWTH Aachen University, Germany)
Collective autonomous vehicles are the next step in Intelligent Transportation Systems (ITS) to optimize the traffic flow and increase road safety. However, the management of collective dense scenarios formed by rapid moving vehicles is not a simple task. Thus, a coordination scheme for connected vehicles is proposed in this paper. The coordination and formation scheme is designed using a joint paradigm. On the one hand, the platoon formation is based on a coalitional game-theory approach. On the other hand, the intra and inter-platoon coordination is controlled using a cooperative communication scheme managing the safety and stability of the platoon. Here we define a utility function-based coalitional game to optimize the traffic flow and manage the platoons. In addition, using the information gathered by the deployed infrastructures, the coalitional game behavior is updated in order to react accordingly to unexpected network events and vehicle actions. The platoon management is coordinated using communication schemes in order to achieve the optimal distance between vehicles and platoons, increasing the traffic flow and stability. In order to validate our theoretical framework, simulations are performed under realistic conditions to determine the positive impact obtained by the proposed cooperative scheme in comparison with different approaches.

 

 

16:54 – Secure Blockchain-Based Communication Scheme for Connected Vehicles

Jose Angel Leon Calvo and Rudolf Mathar (RWTH Aachen University, Germany)
Autonomous connected vehicles are a main concept in the future of Intelligent Transportation Systems (ITS) since they provide an increase in safety and road efficiency. The management and coordination of the connected vehicles is based on periodic communications among the vehicles involved in the network, and with their surrounding environment. However, a major concern regarding this information sharing process is how to provide a secure transmission while fulfilling the latency requirements. Here we propose the use of a joint paradigm to securely manage the inter-vehicular communications. First, a ring-signature based scheme is applied to verify the identity of the vehicles joining the network. Second, the information is shared among the vehicles and consensually verified using a blockchain-based mechanism using secure communication channels created by multi-party smart contracts. The proposed protocol fulfills the stringent requirements in latency for vehicular networks by means of almost instantaneous communications while providing an anonymous secure system for the members of the network relying on cryptographic primitives.

 

 

17:12 – 5G Based Collision Avoidance – Benefit from Unobtrusive Activities

Andreas Jahn, Michel Morold and Klaus David (University of Kassel, Germany)
Still, every year many vulnerable road users (VRUs), such as pedestrians or bicyclists, are killed or seriously injured in traffic accidents. To reduce the number of traffic accidents several research groups are working on different solutions. The approach presented in this paper is based on wireless communications such as WLAN and 5G/LTE and a “context filter.” The “context filter” identifies vulnerable road users in potentially dangerous situations based on several inputs (e.g., location, movement direction). An identified dangerous situation is communicated between VRUs and cars using wireless communication. As one interesting context for identifying dangerous situations, this paper investigates on recognizing pedestrians stepping onto the road. Utilizing smartphone sensor data, the investigated approaches address three key challenges: inconsistent sensor data, overrepresentation of periodic activities, as well as the evaluation of the recognition. For each challenge, a possible solution is proposed. The results indicate that recognizing the “stepping onto the road” is possible and support the overall 5G based collision avoidance system.