LTE-V for Sidelink 5G V2X Vehicular Communications: A New 5G Technology for Short-Range Vehicle-to-Everything Communications

Molina-Masegosa, Rafael; Gozálvez, Javier

doi:10.1109/mvt.2017.2752798

Cited by 668 publications

(415 citation statements)

References 3 publications

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“…Since the former relies on an infrastructure, which is not required by IEEE 802.11p, only Mode 4 will be considered in the following. For the details about the Mode 4 algorithm defined by 3GPP, which is based on sensing before select and semi-persistent scheduling (SPS), the reader is referred for example to [14], [15]. It is anyway relevant to note that the transmission delay in sidelink C-V2X is constrained by the chosen selection window and that wrong allocations are prone to consequent collisions for several consecutive transmissions.…”

Section: B the Cellular Standardsmentioning

confidence: 99%

Congestion Control Mechanisms in IEEE 802.11p and Sidelink C-V2X

Bazzi

2019

2019 53rd Asilomar Conference on Signals, Systems, and Computers

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1 Connected vehicles are expected to play a major role in the next future to improve safety and traffic efficiency on the road and short-range technologies have been defined to enable the direct exchange of information. To this aim, two solutions are currently the subject of a debate that goes beyond the technician, i.e., IEEE 802.11p and sidelink cellular-vehicle-to-anything (C-V2X). Tested and mature for deployment the first, possibly more efficient the second. In both cases, one of the main aspects is the management of channel congestions, which can cause serious packet losses and have a critical impact on the reliability of applications. Congestions can be managed through different approaches, including the control of transmission power, packet generation frequency, and the adopted modulation and coding scheme. Congestion management has been well studied in IEEE 802.11p, with consolidated algorithms included in the standards, whereas it appears somehow as a new topic looking at C-V2X. In this work, a review of the main congestion control mechanisms and a discussion of their applicability and efficiency in the two technologies is provided. This topic is addressed without focusing on specific algorithms and with the aim to provide general guidelines as a starting point for new proposals.

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Section: B the Cellular Standardsmentioning

confidence: 99%

Congestion Control Mechanisms in IEEE 802.11p and Sidelink C-V2X

Bazzi

2019

2019 53rd Asilomar Conference on Signals, Systems, and Computers

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“…The Release 14 can only provide basic V2X applications like emergency vehicle warning, hazard warning, collision avoidance, and so on. 45 RSUs, on-board units (OBUs), and application units (AUs) are the main parts of VANET architecture. Standalone operation refers to providing full data plane and controlling the plane functions in NR, while nonstandalone operation implies that the control plane functions of LTE are utilized as an anchor for NR.…”

Section: Vanet Architecturementioning

confidence: 99%

“…The Mode 4 is considered as the baseline mode and represents an alternative to 802.11p. 45 RSUs, on-board units (OBUs), and application units (AUs) are the main parts of VANET architecture. 46 The RSU is an intelligent device deployed across the road network that delivers services to the vehicles.…”

Section: Vanet Architecturementioning

confidence: 99%

Towards efficient data collection mechanisms in the vehicular ad hoc networks

Pourghebleh

Navimipour

2019

Int J Communication

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Recently, the fast growth of communication technology has led to the design and implementation of different types of networks in different environments. One of these remarkable networks is vehicular ad hoc network (VANET).The ubiquitous connectivity among vehicles is possible through VANET in the absence of fixed infrastructure. Moreover, it provides safety and comfort to people sitting in the vehicles. In this regard, collecting information from vehicles that are moved constantly is an essential challenge. To develop an efficient method for data collection in the VANET, some parameters must be considered such as data aggregation, latency, packet delivery ratio, packet loss, scalability, security, transmission overhead, and vehicle density. Since data collection has a significant importance in the VANET, the aim of this study is to investigate the existing methods and describe the types of important issues and challenging problems that can be addressed in data collection in the VANET. The data collection techniques are investigated in four primary groups, namely, topology-based, cluster-based, geocast-based, and fog-based.Also, the mentioned parameters are important to compare all of the presented techniques. KEYWORDS communication architecture, data collection, VANET, vehicle-to-vehicle communication, vehicular ad hoc networks | INTRODUCTIONOne of the growing disruptive innovation is the Internet of things (IoT), which allows physical devices to communicate over heterogeneous networks. 1-3 Moreover, one of the IoT applications is vehicular ad hoc network (VANET), 4 which has been developed as a powerful technology aimed at providing safety and comfort to people sitting in the vehicles. 5,6 Moreover, it affords wireless communication among vehicles, and dynamic traffic data is transferred with a high accuracy and low cost. 7,8 The VANET is a module of intelligent transportation systems (ITS) and a subdivision of mobile ad hoc network (MANET). 9,10 Typically, the vehicles are armed with sensing equipment and have a high storage and processing capacity. 11 The unique features of the VANETs include higher node density, instability of wireless channel and limited bandwidth, predictability of vehicular pathway, highly dynamic network topology that change quickly and repeatedly, sufficient energy and resources, and hard delay constraints. 12-14 A large scale of VANET is foreseen to be available in the near future because of the rapid growth of vehicles equipped with communication abilities. 15 The data dissemination and the data collection of vehicles are two significant factors supported by VANET. 16

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“…The D2D communication between user equipments (UEs) in the LTE terminology is performed via the PC5 interface (known as Sidelink), as opposed to the conventional downlink (eNodeB‐to‐UE) and uplink (UE‐to‐eNodeB). The Sidelink is defined as a subset of the uplink resources, in which D2D communications can take place . The 3GPP has introduced in Release 14 the C‐V2X standard that uses the LTE PC5 interface for V2V communications .…”

Section: Introductionmentioning

confidence: 99%

Multiobjective optimization‐based radio resource allocation and sharing algorithm for D2D‐based V2V communication

Feki

Belghith

Zarai

2019

Trans Emerging Tel Tech

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Vehicular communication systems have recently attracted a lot of attention because of their potential to improve road efficiency, comfort, and safety. In this paper, we investigate the resource management problem for device‐to‐device–based vehicle‐to‐vehicle communication. A multiobjective radio resource allocation and sharing algorithm is proposed based on a swarm intelligence algorithm called ant colony optimization (ACO). First, for the resource allocation process, three objective functions are formulated to maximize the users' transmission capacity, reduce the mobile transmission power, and minimize the intracell interference. Second, for the resource sharing process, we define two objective functions to optimize the resource utilization and reduce the intercell interference. Finally, a weighted sum method is used to join these objective functions and define one multiobjective optimization problem. The ACO algorithm is used to determine the Pareto optimal solution. Simulation results show that the proposed algorithm performs well and achieves promising performance in terms of network sum rate, packet drop rate, average queuing delay, resource utilization, and mobile's transmission power.

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LTE-V for Sidelink 5G V2X Vehicular Communications: A New 5G Technology for Short-Range Vehicle-to-Everything Communications

Cited by 668 publications

References 3 publications

Congestion Control Mechanisms in IEEE 802.11p and Sidelink C-V2X

Congestion Control Mechanisms in IEEE 802.11p and Sidelink C-V2X

Towards efficient data collection mechanisms in the vehicular ad hoc networks

Multiobjective optimization‐based radio resource allocation and sharing algorithm for D2D‐based V2V communication

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