arXiv subjects

Artem Otmakhov

Publications and source records attributed to Artem Otmakhov.

3 recordsLinked to original sources

arXiv2025

Enhancing 5G V2X Mode 2 for Sporadic Traffic

The emerging road safety and autonomous vehicle applications require timely and reliable data delivery between vehicles and between vehicles and infrastructure. To satisfy this demand, 3GPP develops a 5G Vehicle-to-Everything (V2X) technology. Depending on the served traffic type, 5G V2X specifications propose two channel access methods: (i) Mode 1, according to which a base station allocates resources to users, and (ii) Mode 2, according to which users autonomously select resources for their transmissions. In the paper, we consider a scenario with sporadic traffic, e.g., a vehicle generates a packet at a random time moment when it detects a dangerous situation, which imposes strict requirements on delay and reliability. To satisfy strict delay requirements, vehicles use Mode 2. We analyze the performance of Mode 2 for sporadic traffic and propose several approaches to improve it. Simulation results show that the proposed approaches can increase the system capacity by up to 40% with a low impact on complexity.

cs.NI↗

arXiv2025

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

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.

cs.NI↗

arXiv2023

Analytical Model of 5G V2X Mode 2 for Sporadic Traffic

5G Vehicle-to-Everything (V2X) is a promising technology to satisfy the increasing demands of intelligent transportation systems. Emerging V2X applications with a high level of automation impose very strict requirements on latency (less than 10 ms) and reliability (higher than 99.99%). For sporadic traffic, such demands can be satisfied with a distributed channel access method called Mode 2. This letter proposes an analytical model of Mode 2 that estimates the packet loss rate and the network capacity taking into account the peculiarities of Mode 2 and -- in contrast to the existing models -- provides the accuracy required in the emerging V2X scenarios. The model can be used to find the optimal transmission parameters that maximize the network capacity and/or to select the required bandwidth.

cs.NI↗