Advanced SearchSearch Tips
End to End Model and Delay Performance for V2X in 5G
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
End to End Model and Delay Performance for V2X in 5G
Bae, Kyoung Yul; Lee, Hong Woo;
  PDF(new window)
The advent of 5G mobile communications, which is expected in 2020, will provide many services such as Internet of Things (IoT) and vehicle-to-infra/vehicle/nomadic (V2X) communication. There are many requirements to realizing these services: reduced latency, high data rate and reliability, and real-time service. In particular, a high level of reliability and delay sensitivity with an increased data rate are very important for M2M, IoT, and Factory 4.0. Around the world, 5G standardization organizations have considered these services and grouped them to finally derive the technical requirements and service scenarios. The first scenario is broadcast services that use a high data rate for multiple cases of sporting events or emergencies. The second scenario is as support for e-Health, car reliability, etc.; the third scenario is related to VR games with delay sensitivity and real-time techniques. Recently, these groups have been forming agreements on the requirements for such scenarios and the target level. Various techniques are being studied to satisfy such requirements and are being discussed in the context of software-defined networking (SDN) as the next-generation network architecture. SDN is being used to standardize ONF and basically refers to a structure that separates signals for the control plane from the packets for the data plane. One of the best examples for low latency and high reliability is an intelligent traffic system (ITS) using V2X. Because a car passes a small cell of the 5G network very rapidly, the messages to be delivered in the event of an emergency have to be transported in a very short time. This is a typical example requiring high delay sensitivity. 5G has to support a high reliability and delay sensitivity requirements for V2X in the field of traffic control. For these reasons, V2X is a major application of critical delay. V2X (vehicle-to-infra/vehicle/nomadic) represents all types of communication methods applicable to road and vehicles. It refers to a connected or networked vehicle. V2X can be divided into three kinds of communications. First is the communication between a vehicle and infrastructure (vehicle-to-infrastructure; V2I). Second is the communication between a vehicle and another vehicle (vehicle-to-vehicle; V2V). Third is the communication between a vehicle and mobile equipment (vehicle-to-nomadic devices; V2N). This will be added in the future in various fields. Because the SDN structure is under consideration as the next-generation network architecture, the SDN architecture is significant. However, the centralized architecture of SDN can be considered as an unfavorable structure for delay-sensitive services because a centralized architecture is needed to communicate with many nodes and provide processing power. Therefore, in the case of emergency V2X communications, delay-related control functions require a tree supporting structure. For such a scenario, the architecture of the network processing the vehicle information is a major variable affecting delay. Because it is difficult to meet the desired level of delay sensitivity with a typical fully centralized SDN structure, research on the optimal size of an SDN for processing information is needed. This study examined the SDN architecture considering the V2X emergency delay requirements of a 5G network in the worst-case scenario and performed a system-level simulation on the speed of the car, radius, and cell tier to derive a range of cells for information transfer in SDN network. In the simulation, because 5G provides a sufficiently high data rate, the information for neighboring vehicle support to the car was assumed to be without errors. Furthermore, the 5G small cell was assumed to have a cell radius of 50-100 m, and the maximum speed of the vehicle was considered to be 30-200 km/h in order to examine the network architecture to minimize the delay.
Delay;Latency;5G;V2X(vehicle to X);SDN(Soft Defined Network);
 Cited by
Agyapong, P. K., M. Iwamura, D. Staehle, W. Kiess, and A. Benjebbour, "Design Considerations for a 5G Network Architecture," IEEE Communications Magazine, Vol.52, No.11(2014), 65-75. crossref(new window)

Bae. K., "Self-Tour Service Technology based on a Smartphone," Journal of Intelligence and Information Systems, Vol.16, No.4(2010), 147-157.

Bernardos C. J., A. Olivia, P. Serrano, A. Banchs, L. M. Contreras, H. Jin and J. C. Zuniga, "An Architecture for Software Defined Wireless Networking," IEEE Wireless Communications, Vol.21, No.3(2014), 52-61.

Fettweis G., T. Dresden and S. Alamouti, "5G: Personal Mobile Internet beyond What Cellular Did to Telephony," IEEE Communications Magazine, Vol.52, No.2(2014), 140-145.

Jin, J. and Y. Kim, "Fuzzy Traffic Control Expert System", Journal of Intelligence and Information Systems, Vol.1, No.2(1995), 17-32.

Lee, H. and K. Bae, "The Requirements and Solutions of 5G Mobile Communication for Industry 4.0," INFORMATION-An International Interdisciplinary Journal, Vol.18, No.11(2015), 4713-4720.

Osseiran A., F. Boccardi, V. Braun, K. Kusume, P. Marsch, M. Maternia, O. Queseth, M. Schellmann, H. Schotten, H. Taoka, H. Tullberg, M. A. Uusitalo, B. Timus, and M. Fallgren, "Scenarios for 5G Mobile and Wireless Communications," The Vision of the METIS Project IEEE Communications Magazine, Vol.52, No.5(2014), 26-35.

Shin, S. and S. Lee, "Correlation between Car Accident and Car Color for Intelligent Service," Journal of Intelligence and Information Systems, Vol.19, No.4(2013), 11-20. crossref(new window)

SKTelecom, SKtelecom 5G Whitepaper, SKtelecom, 2014.

Varghese A. and D. Tandur, "Wireless requirements and challenges in industry 4.0," International Conference on Contemporary Computing and Informatics, (2014), 634-638.

Zhang S., X. Xu, Y. Wu and L. Lu., "5G: Towards Energy-Efficient, Low-Latency and High-Reliable Communications Networks," Proceedings of the 2014 IEEE ICCS, (2014), 197-201.

Convergence Policy Research Department Policy Research Division, "V2X Communications, emerging as a key technology of intelligent transport systems," Trends and Prospects: Broadcasting, communication, transmission, (2014), Vol.73, 41-52.