A Multi-stack Simulation Framework for Vehicular Applications Testing

Malinverno, Marco; Raviglione, Francesco; Casetti, Claudio; Chiasserini, Carla-Fabiana; Mangues‐Bafalluy, Josep; Requena‐Esteso, Manuel

doi:10.1145/3416014.3424603

Cited by 22 publications

(9 citation statements)

References 9 publications

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“…Authors in [ 21 ] presented the first open-source simulator for LTE C-V2X Mode 4 communications, based on ns-3. An open-source 802.11p and LTE C-V2X simulation/emulation tool for ns-3, called ms-van3t, has been recently released in [ 22 ], which provides integration of ns-3 with the open-source Simulation of Urban MObility (SUMO) simulator for mobility management and mobility tracking. The work in [ 23 ] presents LTEV2Vsim, a simulator for LTE C-V2X Mode 3 and Mode 4 that is written in Matlab, freely available, and which focuses on Medium Access Control (MAC) and PHY layers procedures.…”

Section: Introductionmentioning

confidence: 99%

3GPP NR V2X Mode 2: Overview, Models and System-Level Evaluation

et al. 2021

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Following the successful use of sidelink in Long Term Evolution (LTE) for Proximity Services (ProSe) and Cellular Vehicular-to-everything (C-V2X), the 3rd Generation Partnership Project (3GPP) is working towards its evolution in New Radio (NR) systems in the context of the so-called NR V2X. This new technology is expected to complement LTE C-V2X for advanced services by offering low latency, high reliability, and high throughput V2X services for advanced driving use cases. To do this, NR V2X is equipped with new features, such as the support for groupcast and unicast communication, a novel feedback channel, and a new control channel design. In this paper, we provide a complete history of sidelink technology in 3GPP followed by a detailed overview of NR V2X technology, with special emphasis on Mode 2 for out of coverage operation and autonomous resource selection. Furthermore, this paper presents a system-level NR V2X standard-compliant simulator, as an extension of the popular and open-source NR network simulator 5G-LENA, based on ns-3. In particular, we focus on the design, implementation, and evaluation of the sensing-based resource selection in NR V2X Mode 2, in a highway scenario for a platooning use case. Through several and extensive simulation campaigns, we test the impact of different NR V2X parameters, such as the numerology, the resource selection window size, the number of retransmissions, the maximum number of resources per reservation, and the probability of keeping the same resources during reselection, in a sensing-based resource selection. Finally, we provide a comparison campaign that shows the gains attained by the sensing-based resource selection, proposed during 3GPP Release 16, over the random selection strategy, considered in 3GPP Release 17 for power saving purposes.

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Section: Introductionmentioning

confidence: 99%

3GPP NR V2X Mode 2: Overview, Models and System-Level Evaluation

et al. 2021

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“…The first one [16] focuses on Mode 4 and is an extension of ns-3, based on the device-todevice (D2D) model presented in [19]. Another open-source simulator, called ms-van3t, extending ns-3 to include Mode 4 is presented in [17]. The solution presented in [18], also focusing on Mode 4, is a modification and extension of the SimuLTE [20] within OMNeT++; it is implemented in two versions, one integrating with the Artery 2 framework and the second one integrating with Veins [21] only.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Sidelink 5G-V2X Mode 2 Through an Open-Source Simulator

Todisco

Bartoletti²,

Campolo

et al. 2021

IEEE Access

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The Third Generation Partnership Project (3GPP) has recently published a new set of specifications to enable advanced driving applications in fifth generation (5G) vehicle-to-everything (V2X) scenarios, with particular effort dedicated to the sidelink resource allocation in the autonomous mode, named Mode 2. In this paper, we conduct a comprehensive analysis of Mode 2 performance via an opensource system-level simulator, which implements the 5G New Radio (NR) flexible numerology and physical layer aspects together with the newly specified sidelink resource allocation modes for V2X communications and different data traffic patterns. Results collected through extensive simulation campaigns, under a wide variety of vehicle density, data transmission settings and traffic patterns, showcase the effects of the new 5G-V2X features on the sidelink resource allocation performance and provide some insights into possible ways to further improve Mode 2 performance.

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“…Simulations of conventional fleets in SUMO: Malinverno et al [11] developed framework to simulate vehicle-to-infrastructure. That framework supports different communication protocols.…”

Section: Related Workmentioning

confidence: 99%

SUMO4AV: An Environment to Simulate Scenarios for Shared Autonomous Vehicle Fleets with SUMO Based on OpenStreetMap Data

et al. 2022

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In the past years the progress in the development of autonomous vehicles has increased tremendously. There are still technical, infrastructural and regulative obstacles which need to be overcome. However, there is a clear consent among experts that fully autonomous vehicles (level 5 of driving automation) will become reality in the coming years or at least in the coming decades. When fully autonomous vehicles are widely available for a fair trip price and when they can easily be utilized, a big shift from privately owned cars to carsharing will happen. On the one hand, this shift can bring a lot of chances for cities like the need of less parking space. But on the other hand, there is the risk of an increased traffic when walking or biking trips are substituted by trips with shared autonomous vehicle fleets. While the expected social, ecological and economical impact of widely used shared autonomous vehicle fleets is tremendous, there are hardly any scientific studies or data available for the effects on cities and municipalities. The research project KI4ROBOFLEET addressed this demand. A result of the project was SUMO4AV, a simulation environment for shared autonomous vehicle fleets, which we present in this paper. This simulation tool is based on SUMO, an open-source traffic simulation package. SUMO4AV can support city planners and carsharing companies to evaluate the chances and risks of running shared autonomous fleets in their local environment with their specific infrastructure. At its core it comprises the mapping of OpenStreetMap1 entities into SUMO objects as well as a Scenario Builder to create different operation scenarios for autonomous driving. Additionally, the simulation tool offers a recursive execution with different fleet sizes and optimization strategies evaluated by economic and ecologic parameters. As evaluation of the toolset a simulation of an ordinary scenario was performed. The workflow to simulate the scenario for shared autonomous vehicle fleets was successfully processed with the SUMO4AV environment.

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A Multi-stack Simulation Framework for Vehicular Applications Testing

Cited by 22 publications

References 9 publications

3GPP NR V2X Mode 2: Overview, Models and System-Level Evaluation

3GPP NR V2X Mode 2: Overview, Models and System-Level Evaluation

Performance Analysis of Sidelink 5G-V2X Mode 2 Through an Open-Source Simulator

SUMO4AV: An Environment to Simulate Scenarios for Shared Autonomous Vehicle Fleets with SUMO Based on OpenStreetMap Data

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