Effect of Retransmissions on the Performance of C-V2X Communication for 5G

Wang, Donglin; Sattiraju, Raja; Qiu, Anjie; Partani, Sanket; Schotten, Hans D.

doi:10.1109/vtc2020-fall49728.2020.9348560

Cited by 11 publications

(5 citation statements)

References 7 publications

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“…In this subsection, we present the overview of Vehicle-to-Network (V2N) C-ITS services which are currently under development and their communication requirements. Based on analysis of the available literature including research papers, research project deliverables, and standardization documents [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33], we compiled a communication and localization requirements framework of envisaged V2N C-ITS services. The example of the framework is illustrated in Table 1 and the full framework containing requirements for all investigated V2N C-ITS services is presented in Tables A1 and A2.…”

Section: Vehicle-to-network Services and Communication Requirementsmentioning

confidence: 99%

Digital Infrastructure Quality Assessment System Methodology for Connected and Automated Vehicles

Cucor,

Petrov,

Kamencay

et al. 2023

Electronics

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The rapid integration of Connected and Automated Vehicles (CAVs) into modern transportation systems necessitates a robust and systematic approach to assess the quality of the underlying digital infrastructure. In the presented work, we propose a methodology and evaluation of framework that can be used to assess digital infrastructure segments based on their readiness for the deployment of CAVs. The methodology encompasses a comprehensive framework that collects, processes, and evaluates diverse data sources, including real-time traffic, communication, and environmental data. The proposed framework is developed based on experimental data and provides a systematic approach to assess infrastructure readiness for CAVs. The proposed methodology is applied in a system for detecting the readiness status of digital infrastructure from a Cooperative, Connected, and Automated Mobility (CCAM) perspective. The system can determine the percentage of non-compliance of technical service requirements in terms of latency, bandwidth, and localization accuracy. Thanks to this, we can determine in advance in which state the current digital infrastructure is and which services can be currently operated, and thus locate the segments of the route in which the telecommunication systems need to be supported.

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Section: Vehicle-to-network Services and Communication Requirementsmentioning

confidence: 99%

Digital Infrastructure Quality Assessment System Methodology for Connected and Automated Vehicles

Cucor,

Petrov,

Kamencay

et al. 2023

Electronics

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“…Short-term sensing based resource selection [29] Mimimize interference among vehicles and cellular users [22] Adaptive transmit power control [31] Geo-based scheduling [32] Zone based resource allocation [33] Two-stage resource management [34] Position RM [35] Group scheduling for platooning [36] Autonomous resource allocation [37] HARQ blind Retransmission [38] Dynamic scheduling based on priority [39] Greedy cellular-based V2V link selection [40] Clustering Clustering based resource management scheme [41] Clustering based resource selection by energy measurement [42] Clustering based resource management for D2Dsupported [43]…”

Section: Time-frequency Selectionmentioning

confidence: 99%

“…In [38], the vehicles share the safety-related messages via the direct sidelink communication. However, the transmitter does not obtain feedback regarding whether the message is successfully received.…”

Section: ) Retransmission Scheme In V2x Sidelinkmentioning

confidence: 99%

Comprehensive Survey of Radio Resource Allocation Schemes for 5G V2X Communications

Moh²

2021

IEEE Access

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In recent years, intelligent transportation systems, which provide safety and autonomous services on the road using the Internet and cellular technologies, have become increasingly important. Vehicles are equipped with sensors that can transmit data to other vehicles or infrastructure according to different types of services. In order to ensure robust connectivity for safety services, the transmission among vehicles requires low latency, high reliability, and high packet delivery ratio. With the increased number of vehicles, more frequency resources are needed to establish fast and reliable services. In the area of high vehicle density, the demand of frequency resources is increasing to establish stable connectivity in a short time. However, the amount of frequency resources is limited; the resource allocation scheme (RAS) should effectively assign a resource block to each user to ensure the quality of service. In this paper, we present a comprehensive survey of RASs for the 5G-based vehicular networks known as 5G V2X. We also discuss the challenges and opportunities for resource allocation in modern vehicular networks and present numerous promising future research directions.

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“…However, frame loss is inherently included within the MAC layer, which only permits an upper bound on retransmission attempts that is likely to be exceeded by burst errors and unfavorable channel conditions. This applies to WLAN and cellular communication [31], [32]. Thus, a reliable communication must always include higher-level retransmission mechanisms to cover losses.…”

Section: B Middleware and Protocolsmentioning

confidence: 99%

A Middleware Protocol for Time-Critical Wireless Communication of Large Data Samples

Peeck

Mostl

Ishigooka³

et al. 2021

2021 IEEE Real-Time Systems Symposium (RTSS)

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We present a middleware-based protocol that reliably synchronizes large samples consisting of multiple frames efficiently and within application level QoS requirements over a lossy wireless channel. The protocol uses a custom retransmission scheme, exploiting the latency requirements on sample level for frame level scheduling. It can be integrated into the popular DDS middleware. We investigate some technical limits of such a protocol and compare it to existing error protocols in the software stack and in the wireless protocol and combinations thereof. The comparison is based on an Omnet++ simulation using an established wireless channel error model. For evaluation, we take a use case from automated valet parking where infrastructure data provided via a wireless link augments in-vehicle sensor data. The use case respects the related safety requirements. Results show that the application awareness of the presented protocol, significantly improves service availability by transmitting data efficiently in time even under higher frame error rates.

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Effect of Retransmissions on the Performance of C-V2X Communication for 5G

Cited by 11 publications

References 7 publications

Digital Infrastructure Quality Assessment System Methodology for Connected and Automated Vehicles

Digital Infrastructure Quality Assessment System Methodology for Connected and Automated Vehicles

Comprehensive Survey of Radio Resource Allocation Schemes for 5G V2X Communications

A Middleware Protocol for Time-Critical Wireless Communication of Large Data Samples

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