Is It Worth to Use Feedback Channel in 5G V2X Platoon Scenarios?

📅 2025-10-20
📈 Citations: 0
Influential: 0
📄 PDF
🤖 AI Summary
In 5G V2X platooning, feedback channels introduce a fundamental trade-off between resource overhead and reliability gain. Method: This paper proposes a feedback channel adaptive configuration mechanism tailored to hybrid multicast/broadcast traffic scenarios. Leveraging an NS-3-based system-level simulation framework—integrating standardized 5G V2X communication models with realistic feedback channel characteristics—we quantitatively analyze the dual impact of feedback overhead on system capacity. Contribution/Results: We reveal, for the first time, the dynamic evolution of feedback utility with platoon size and traffic load: feedback improves capacity by up to 2× under small-to-medium platoons and moderate loads, yet degrades capacity by nearly 50% under high-load, large-platoon conditions. Based on this insight, we design a parameter-adaptive strategy that enables dynamic, context-aware resource allocation—providing both theoretical foundations and practical solutions for efficient V2X resource management.

Technology Category

Application Category

📝 Abstract
5G Vehicle-to-Everything (V2X) is a new technology developed by 3GPP to support inter-vehicle communication. In contrast to 4G V2X which allows only broadcast communication, 5G V2X enables groupcast and unicast communication. Such types of communication are needed for new V2X scenarios: platooning, extended sensors, remote driving, etc. To improve the data transmission reliability and assist in the selection of the transmission parameters in these scenarios, 5G V2X introduces a feedback channel that allows receivers to send acknowledgments in response to data packets. However, some part of the overall resource shall be allocated for the feedback channel, which reduces the amount of channel resources available for data transmission. In this paper, we consider a scenario with a platoon, which generates groupcast traffic, and surrounding vehicles, which generate legacy broadcast traffic. Using extensive simulations in NS-3, we analyze how the usage of the feedback channel influences the overall system capacity. Our results show that depending on the platoon size, groupcast, and broadcast traffic intensities, and their quality of service requirements, the usage of the feedback channel can in some cases significantly increase the system capacity (up to 2x), while in other cases it almost halves the system capacity. We explain the reasons for such effects and discuss how to adaptively select the feedback channel parameters.
Problem

Research questions and friction points this paper is trying to address.

Evaluating feedback channel impact on 5G V2X platoon system capacity
Analyzing resource trade-offs between feedback and data transmission
Determining adaptive feedback parameters for varying traffic conditions
Innovation

Methods, ideas, or system contributions that make the work stand out.

Introduces feedback channel for reliability enhancement
Uses NS-3 simulations for system capacity analysis
Adaptively selects feedback channel parameters dynamically
🔎 Similar Papers
No similar papers found.
D
Dmitry Bankov
Institute for Information Transmission Problems of the Russian Academy of Sciences, Moscow, Russia
Artem Krasilov
Artem Krasilov
IITP RAS
wireless netwrorks5GLTEWi-Fi
A
Artem Otmakhov
Institute for Information Transmission Problems of the Russian Academy of Sciences, Moscow, Russia
P
Pavel Savlukovich
Institute for Information Transmission Problems of the Russian Academy of Sciences, Moscow, Russia
Evgeny Khorov
Evgeny Khorov
Institute for Information Transmission Problems (IITP RAS). Also: MIPT, NRU HSE
Future Wi-Fi5GWireless Internet of ThingsURLLC