V2V

Vehicle-to-Vehicle

Services →
Introduced in Rel-14 Also in: User Equipment

V2V is a direct communication service between vehicles that enables the exchange of safety and operational information, forming a foundation for Cooperative Intelligent Transport Systems.

Category
Services
Introduced
Rel-14
Where
Radio Access Network › NG-RAN (5G)
Also touches
1 segments
Specifications
11 specs
V2V Description Purpose Specifications

Description

Vehicle-to-Vehicle (V2V) communication is a type of vehicular communication defined within the broader Cellular Vehicle-to-Everything (C-V2X) framework standardized by 3GPP. It enables vehicles to directly exchange information with other vehicles in their vicinity, typically within a range of several hundred meters. This direct communication occurs either via a sidelink interface (PC5), which is a device-to-device communication channel, or can be facilitated through the cellular network (Uu interface). The primary mode for low-latency, high-reliability safety messages is the PC5 sidelink, operating in the 5.9 GHz ITS band.

The technical operation involves vehicles broadcasting Basic Safety Messages (BSMs) or Cooperative Awareness Messages (CAMs) at a high frequency (e.g., 10 Hz). These messages contain dynamic state data like the vehicle's GPS position, speed, acceleration, heading, and vehicle status (e.g., brake activation). Nearby vehicles receive these messages and their onboard units process the information. Using this data, applications can perform threat analysis, such as calculating the time to collision, and provide warnings to the driver or initiate automated actions like emergency braking. The communication mode defined for this is LTE-V2X Mode 4 or NR-V2X Mode 2, which use a sensing-based semi-persistent scheduling (SPS) mechanism for autonomous resource selection without network scheduling, ensuring operation even outside cellular coverage.

Within the 3GPP architecture, V2V services are supported by both the core network and the radio access network. The core network, via functions like the V2X Application Server and the V2X Control Function, can provide authorization, parameter provisioning (like the PC5 configuration), and support for network-assisted scheduling (Mode 3). The radio specifications (e.g., 36.785, 38.785) define the physical layer, resource allocation protocols, and message structures for the PC5 interface. The evolution from LTE-based V2V (in Rel-14/15) to NR-based V2V (from Rel-16) brought enhanced capabilities like support for higher frequencies (mmWave), ultra-reliable low-latency communication (URLLC), and precise sidelink positioning, which are critical for advanced automated driving maneuvers and platooning.

Purpose & Motivation

V2V communication was developed to address critical limitations of onboard sensors (like radar, lidar, and cameras) in vehicles. While these sensors provide a 'view' of the immediate surroundings, they are line-of-sight and can be obstructed by weather, obstacles, or other vehicles. V2V creates a cooperative awareness, allowing vehicles to 'see' around corners and through obstacles by sharing their sensor-derived data electronically. This is crucial for preventing accidents, especially in scenarios like intersection collisions, sudden braking of a leading vehicle outside direct view, or cooperative merging.

The standardization within 3GPP, starting in Release 14, was motivated by the need for a globally harmonized, cellular-based solution that could leverage existing and future mobile network infrastructure. Prior to C-V2X, dedicated short-range communications (DSRC) based on IEEE 802.11p was the main proposed technology. 3GPP's C-V2X, including V2V, offered a more evolutionary path with better performance, longer range, and native integration with wide-area cellular networks for enhanced services. The goal is to form the communication backbone for Cooperative Intelligent Transport Systems (C-ITS), enabling not just safety but also traffic flow optimization and the eventual realization of highly automated and autonomous driving.

Release Timeline

Evolution Across Releases

Rel-14 Initial

Introduced LTE-based V2V communication as part of C-V2X Phase 1. Defined the PC5 sidelink interface (Mode 4) for direct vehicle communication and basic message sets (BSM). Focused on day-1 safety use cases like collision avoidance.

Enhanced LTE-V2X with new capabilities for vehicle platooning, advanced driving, and extended sensors. Introduced support for 5G NR coexistence and laid the groundwork for the evolution towards NR-V2X.

Introduced NR-V2X to operate alongside LTE-V2X. Defined a new NR sidelink (PC5) with support for higher data rates, ultra-low latency, enhanced reliability, and precise positioning. Targeted advanced V2V services for automated driving.

Enhanced NR sidelink with improvements for power saving, sidelink relay, and expanded use cases. Further refined the coordination between LTE-V2X and NR-V2X for seamless operation.

Explore further

Broader topics and technologies where V2V plays a role.

Defining Specifications

3GPP specifications that define or reference V2V, with the latest known release. Sourced from the 3GPP document catalog — see methodology.

SpecificationTitleRelease
TS 22.886 vg20 eV2X Use Cases and Requirements Rel-16
TS 36.785 ve00 LTE Sidelink V2V Services Study Rel-14
TS 36.786 ve00 TR on V2X Services based on LTE sidelink Rel-14
TS 36.787 vf00 V2X New Band Combinations for LTE Rel-15
TS 36.788 vf00 V2X Phase 2 Technical Report for LTE Rel-15
TR 37.885 vf30 Study on V2X Evaluation Methodology for LTE/NR Rel-15
TR 38.785 vh00 UE radio transmission for enhanced NR sidelink Rel-17
TR 38.786 vi20 Technical Report for NR Sidelink Evolution Rel-18
TS 38.787 vj00 UE Radio Transmission for Sidelink CA in ITS Band Rel-19
TR 38.868 vh00 Optimizations of pi/2 BPSK uplink power in NR Rel-17
TR 38.886 vg30 NR V2X UE Radio Transmission & Reception Rel-16
Patrick Zandl

About the author: Patrick Zandl (b. 1974)

Telecommunications specialist, technology journalist (founder of the Mobil server), and developer who has been running since 2025 — the largest Czech-language resource on AI-assisted programming. Formerly Chief Wizard Architect at Prusa3D and head of development for Turris at CZ.NIC; currently a consultant and instructor on AI implementation in companies.