Use Cases and Communications Architecture for 5G-Enabled Road Safety Services

Ojanperä, Tiia; Mäkelä, Jukka; Mämmelä, Olli; Majanen, Mikko; Martikainen, Ossi

doi:10.1109/eucnc.2018.8443193

Cited by 22 publications

(14 citation statements)

References 8 publications

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“…By using TCP/IP-based protocols, we are able to avoid any problems related to the network firewalls and Network Address Translation (NAT) in the used test networks. Performance-wise, a UDP-based solution, such as Constrained Application Protocol (CoAP) [17], may be better as indicated by our earlier study [1], but adding support for it in the test networks is left for future work.…”

Section: Related Workmentioning

confidence: 99%

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Evaluation of LiDAR data processing at the mobile network edge for connected vehicles

Ojanperä

Mäkelä

Majanen

et al. 2021

J Wireless Com Network

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Abstract5G mobile network technology together with edge computing will create new opportunities for developing novel road safety services in order to better support connected and automated driving in challenging situations. This paper studies the feasibility and benefits of localized mobile network edge applications for supporting vehicles in diverse conditions. We study a particular scenario, where vehicle sensor data processing, required by road safety services, is installed into the mobile network edge in order to extend the electronic horizon of the sensors carried by other vehicles. Specifically, we focus on a LiDAR data-based obstacle warning case where vehicles receive obstacle warnings from the mobile network edge. The proposed solution is based on a generic system architecture. In this paper, we first evaluate different connectivity and computing options associated with such a system using ns-3 simulations. Then, we introduce a proof-of-concept implementation of the LiDAR-based obstacle warning scenario together with first results from an experimental evaluation, conducted both in a real vehicle testbed environment and in a laboratory setting. As a result, we obtain first insights on the feasibility of the overall solution and further enhancements needed.

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Section: Related Workmentioning

confidence: 99%

“…the accuracy and coverage of the information and alerts produced [1]. So far, the lack of sufficient communication media has hindered the wide-scale adoption of such services, however.…”

mentioning

confidence: 99%

Evaluation of LiDAR data processing at the mobile network edge for connected vehicles

Ojanperä

Mäkelä

Majanen

et al. 2021

J Wireless Com Network

Self Cite

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“…The same lack is found in [8], where a content delivery network used a MEC-based architecture to speed-up data sharing among vehicles. An interesting feature included in [9] is the combination of MEC and multiple Radio Access Networks (RAT), which is also considered in MIGRATE. Unfortunately, NFV flexibility was not exploited.…”

Section: State Of the Artmentioning

confidence: 99%

MIGRATE: Mobile Device Virtualisation Through State Transfer

et al. 2020

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“…An interesting feature included in the architecture presented in [22] is the combination of MEC and a hybrid vehicular communication system, which is also considered in the current work. The authors describe the usage of MEC for local storage and processing, and 4G together with G5 (European profile of 802.11 OCB) for vehicle connectivity.…”

Section: Related Workmentioning

confidence: 99%

SURROGATES: Virtual OBUs to Foster 5G Vehicular Services

et al. 2019

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Virtualization technologies are key enablers of softwarized 5G networks, and their usage in the vehicular domain can provide flexibility and reliability in real deployments, where mobility and processing needs may be an issue. Next-generation vehicular services, such as the ones in the area of urban mobility and, in general, those interconnecting on-board sensors, require continuous data gathering and processing, but current architectures are stratified in two-tier solutions in which data is collected by on-board units (OBU) and sent to cloud servers. In this line, intermediate cache and processing layers are needed in order to cover quasi-ubiquitous data-gathering needs of vehicles in scenarios of smart cities/roads considering vehicles as moving sensors. The SURROGATES solution presented in this paper proposes to virtualize vehicle OBUs and create a novel Multi-Access Edge Computing (MEC) layer with the aim of offloading processing from the vehicle and serving data-access requests. This deals with potential disconnection periods of vehicles, saves radio resources when accessing the physical OBU and improves data processing performance. A proof of concept has been implemented using OpenStack and Open Source MANO to virtualize resources and gather data from in-vehicle sensors, and a final traffic monitoring service has been implemented to validate the proposal. Performance results reveal a speedup of more than 50% in the data request resolution, with consequently great savings of network resources in the wireless segment. Thus, this work opens a novel path regarding the virtualization of end-devices in the Intelligent Transportation Systems (ITS) ecosystem.

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Use Cases and Communications Architecture for 5G-Enabled Road Safety Services

Cited by 22 publications

References 8 publications

Evaluation of LiDAR data processing at the mobile network edge for connected vehicles

Evaluation of LiDAR data processing at the mobile network edge for connected vehicles

MIGRATE: Mobile Device Virtualisation Through State Transfer

SURROGATES: Virtual OBUs to Foster 5G Vehicular Services

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