Advancements in Vehicular Communication Technologies: C-V2X and NR-V2X Comparison

Saad, Malik Muhammad; Khan, Muhammad Toaha Raza; Shah, Syed Hassan Ahmed; Kim, Dongkyun

doi:10.1109/mcom.101.2100119

Cited by 71 publications

(25 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [13], the authors compare the use of Mode 2 with random allocation, providing an extensive description of the sidelink technology in 3GPP, and focusing on the effects of some key parameters used for the sensing-based resource selection. In [14], the authors mainly focus on the impact of the numerology to compare 5G-V2X Mode 2 and LTE-V2X Mode 4. In [15], the authors compare the behavior of Mode 2 in the presence of periodic and aperiodic traffic.…”

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

View full text Add to dashboard Cite

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.

show abstract

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

View full text Add to dashboard Cite

show abstract

“…V2X is expected to support diverse quality of services (QoS), massive connectivity, offer very low latency, and energyefficient communication [7]. Recently, 3rd generation partnership project (3GPP) is also working on different V2X solutions regarding public safety [8]. However, there still exist various research challenges in the current transportation systems that need to be investigated [9].…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency Optimization for Backscatter Enhanced NOMA Cooperative V2X Communications Under Imperfect CSI

Khan

Jamshed

Lagunas

et al. 2023

IEEE Trans. Intell. Transport. Syst.

View full text Add to dashboard Cite

show abstract

“…In [10] the authors discuss and evaluate the new features introduced in NR−V2X by comparative analysis with C-V2X. To compare the performance, an NR−V2X simulator (using ns−3 software) for sub−6 GHz band is also investigated.…”

Section: Introduction and Related Workmentioning

confidence: 99%

3GPP 5G V2X Scenarios: Performance of QoS Parameters Using Turbo Codes

Kosmanos

Chaikalis

Savvas

2022

Telecom

View full text Add to dashboard Cite

Cellular vehicle-to-everything (C-V2X) communication has recently gained attention in industry and academia. Different implementation scenarios have been derived by the 3rd Generation Partnership Project (3GPP) 5th Generation (5G) Vehicle-to-Everything (V2X) standard, Release 16. Quality of service (QoS) is important to achieve reliable communication and parameters which have to be considered are reliability, end-to-end latency, data rate, communication range, throughput and vehicle density for an urban area. However, it would be desirable to design a dynamic selecting system (with emphasis on channel coding parameters selection) so that all QoS parameters are satisfied. Having this idea in mind, in this work we examine nine V2X implementation scenarios using Long Term Evolution (LTE) turbo coding with a geometry-based efficient propagation model for vehicle-to-vehicle communication (GEMV), where we consider the above QoS parameters for SOVA, log-MAP and max-log-MAP decoding algorithms. Our study is suitable for 3GPP cooperative sensing, for the eight scenarios considering medium and large signal-noise-ratio (SNR) values. The proposed model is sustainable despite a doubled data rate, which results in a minimal bit error rate (BER) performance loss up to 1.85 dB. In this case tripling the data rate results in a further 1 dB loss. Moreover, a small loss up to 0.4 dB is seen for a vehicle speed increase from 60 km/h to 100 km/h. Finally, increasing vehicle density has no effect on the implemented 3GPP scenario considering end-to-end latency, irrespectively from the decoding algorithm.

show abstract

Advancements in Vehicular Communication Technologies: C-V2X and NR-V2X Comparison

Cited by 71 publications

References 11 publications

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

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

Energy Efficiency Optimization for Backscatter Enhanced NOMA Cooperative V2X Communications Under Imperfect CSI

3GPP 5G V2X Scenarios: Performance of QoS Parameters Using Turbo Codes

Contact Info

Product

Resources

About