An Application-Driven Framework for Intelligent Transportation Systems Using 5G Network Slicing

Saraiva, Tiago do Vale; Campos, Carlos Alberto Vieira; Fontes, Ramon dos Reis; Rothenberg, Christian Esteve; Sorour, Sameh; Valaee, Shahrokh

doi:10.1109/tits.2021.3086064

Cited by 22 publications

(8 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We simulated a V2X network slicing scenario where vehicles were randomly distributed around the 800m of urban roadway in Manhattan (NYC), i.e., a map of Manhattan roads generated in SUMO urban mobility simulator [39]. The modeling and configuration of vehicle mobility traces carried out using SUMO, which is an open-source simulator extensively used in V2X research as it provides realistic vehicular mobility traces and applications [40], [7]. The vehicles were randomly distributed across the roads to simulate the various MEC server resource availability.…”

Section: Simulation Scenarios and Resultsmentioning

confidence: 99%

“…Effective network slice mobility techniques need to be developed to ensure service continuity in a highly dynamic and mobile environment, e.g., V2X, where dramatic variations to the network topology occurs as the vehicles move across the MEC coverage areas [7]. Full slice mobility that includes migration of all of the resources associated with the network slice causes inefficient use of sparse system resources and increases slice migration delay.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Toward Network Slicing Enabled Edge Computing: A Cloud-Native Approach for Slice Mobility

Shah¹,

Gregory²,

Li³

2023

Preprint

View full text Add to dashboard Cite

<p>Network slicing is a key enabler for 5G and beyond networks that permits operators to provide scalable, flexible, and dedicated networks over a common physical infrastructure. To cope with the rising demand for Ultra-Reliable and Low-Latency Communication (URLLC) in beyond 5G networks, the provision of dedicated secure networks closer to the users is essential. Multi-access Edge Computing (MEC) is a promising technology that provides data and computational resources closer to mobile users. However, MEC servers are resource-constrained, and offering dedicated service-specific network slices at the edge in a highly dynamic and mobile environment is challenging. Network slicing and MEC are being evolved by two different standardization bodies that limit their integration and raise mobility challenges that deserve more attention. We propose a cloud-native microservices architecture for network slice mobility management in MEC that permits each MEC slice to be distributed as stateless and independently deployable microservices. The proposal separates the MEC slice operational data and the user context, as each network function in an MEC slice stores the context in a separate shared database. The proposed architecture leverages new SDN extended federation modules in compliance with the ETSI requirements for inter-MEC system coordination. The federation modules support a more flexible and scalable creation of network slices at MEC servers, efficient resource utilization, and mobility of network slices across MEC servers. The simulation results show that our proposed architecture outperforms the existing SDN-based approaches for network slicing in MEC by achieving high slice acceptance rates and reduced slice migration delay.</p>

show abstract

Section: Simulation Scenarios and Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Toward Network Slicing Enabled Edge Computing: A Cloud-Native Approach for Slice Mobility

Shah¹,

Gregory²,

Li³

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…VANET congestion control is an important and active area of research, and has received significant attention in recent years, for both safety and comfort applications [23][24][25]. Integrating 5G technology with VANET communications for future applications has received significant research attention [26], including issues related to security and privacy [27,28]. In regard to safety applications, the two types of safety messages are event-driven messages and periodic messages, or basic safety messages (BSMs).…”

Section: Background Reviewmentioning

confidence: 99%

Data Rate Selection Strategies for Periodic Transmission of Safety Messages in VANET

St. Amour,

Jaekel

2023

Electronics

View full text Add to dashboard Cite

Vehicular ad hoc networks (VANETs) facilitate communication among vehicles and possess designated infrastructure nodes to improve road safety and traffic flow. As the number of vehicles increases, the limited bandwidth of the wireless channel used for vehicle-to-vehicle (V2V) communication can become congested, leading to packets being dropped or delayed. VANET congestion control techniques attempt to address this by adjusting different transmission parameters, including the data rate, message rate, and transmission power. In this paper, we propose a decentralized congestion control algorithm where each factor adjusts the data rate (bitrate) used to transmit its wireless packet congestion based on the current load on the channel. The channel load is estimated independently by each vehicle using the measured channel busy ratio (CBR). The simulation results demonstrate that the proposed approach outperforms existing data rate-based algorithms, in terms of both packet reception and overall channel load.

show abstract

“…5G-based ITSs could greatly enhance driving safety. Roy and Misra established a plan for its application in road traffic, which can help quickly switch between different service providers to ensure driving safety and help users make decisions [29] . The data transmission network environment will be more complex in future edge-computing based ITSs.…”

Section: Transportation Applicationsmentioning

confidence: 99%

Shaping future low-carbon energy and transportation systems: Digital technologies and applications

Song

Wang

et al. 2022

iEnergy

View full text Add to dashboard Cite

Digitalization and decarbonization are projected to be two major trends in the coming decades. As the already widespread process of digitalization continues to progress, especially in energy and transportation systems, massive data will be produced, and how these data could support and promote decarbonization has become a pressing concern. This paper presents a comprehensive review of digital technologies and their potential applications in low-carbon energy and transportation systems from the perspectives of infrastructure, common mechanisms and algorithms, and system-level impacts, as well as the application of digital technologies to coupled energy and transportation systems with electric vehicles. This paper also identifies corresponding challenges and future research directions, such as in the field of blockchain, digital twin, vehicle-to-grid, low-carbon computing, and data security and privacy, especially in the context of integrated energy and transportation systems.

show abstract

An Application-Driven Framework for Intelligent Transportation Systems Using 5G Network Slicing

Cited by 22 publications

References 39 publications

Toward Network Slicing Enabled Edge Computing: A Cloud-Native Approach for Slice Mobility

Toward Network Slicing Enabled Edge Computing: A Cloud-Native Approach for Slice Mobility

Data Rate Selection Strategies for Periodic Transmission of Safety Messages in VANET

Shaping future low-carbon energy and transportation systems: Digital technologies and applications

Contact Info

Product

Resources

About