Survey and Perspectives of Vehicular Wi-Fi versus Sidelink Cellular-V2X in the 5G Era

Bazzi, Alessandro; Cecchini, Giammarco; Menarini, Michele; Masini, Barbara M.

doi:10.3390/fi11060122

Cited by 115 publications

(92 citation statements)

References 30 publications

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“…3) MCS: The selected MCSs are listed in Table II; the values are taken from [1] and correspond to the minimum MCS in LTE-V2X to have one, two, three, or four packets of 300 bytes per TTI. The minimum SINR level is obtained as detailed in [21] and the same value is set both in LTE-V2X and IEEE 802.11p*.…”

Section: A Simulation Configuration 1) Scenario and Main Settingsmentioning

confidence: 99%

“…In this scenario, two wireless technologies have been developed for vehicle-to-everything (V2X) communications, often referred to as IEEE 802.11p and sidelink cellular vehicle-to-anything (C-V2X) [1]. The former, relatively old and well consolidated, is an adaptation of the classical Wi-Fi, with enhancements currently under definition as IEEE 802.11bd [2].…”

Section: Introductionmentioning

confidence: 99%

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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: A Simulation Configuration 1) Scenario and Main Settingsmentioning

confidence: 99%

Section: Introductionmentioning

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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“…In 1999, the Federal Communications Commission (FCC) of the United States specified 75 MHz of spectrum in the 5.9 GHz band for vehicle safety applications and intelligent transportation system (ITS). Dedicated Short Range Communications (DSRC) technology based on IEEE 802.11p, IEEE 1609.X, and SAE J2945 standards [1] and Cellular Vehicle-to-everything (C-V2X) [2], [3]. Albeit the fact that DSRC is considered as the current primary solution for the vehicular communications, many contributors, e.g., regulators, automakers, and tier-1 suppliers have shown interest in C-V2X networks as an alternative.…”

Section: Introductionmentioning

confidence: 99%

“…Among the recent studies on the performance of C-V2X communication, authors in [10] explored different types of transmission errors, such as errors due to propagation loss, packet collisions, and half-duplex operation, using system level simulations. Authors in [2] present a detailed survey on perspectives and contrasts between C-V2X and DSRC. Recently an open-source C-V2X network simulator is released by [3].…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Dynamics of Cellular V2X Communication in Dense Vehicular Networks

Toghi

Saifuddin

Mughal

et al. 2019

2019 IEEE 2nd Connected and Automated Vehicles Symposium (CAVS)

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Cellular Vehicle-to-everything (C-V2X) communication is a major V2X solution proposed and developed by the 3rd Generation Partnership Project (3GPP). Our previous work has studied scalability aspects of C-V2X and demonstrated its potential for accommodating large numbers of vehicles in dense vehicular scenarios. However, existing studies in the scientific literature mostly have a network-level approach to the problem and do not assess the temporal and spatial dynamics of C-V2X networks in heavy network load situations. In this work we shed light on the spatio-temporal characteristics of these networks and investigate the effectiveness of the congestion control algorithm in dense vehicular ad-hoc networks (VANETs) in terms of settling time, stability, and reliability to be employed for the purpose of safety-critical vehicular applications, where latency plays a major role.

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“…Simulation results demonstrated the superiority of the proposed Stackelberg game-based power allocation scheme in comparison with the traditional power allocation strategy. Meanwhile, the proposed scheme achieved a better trade-off between economic profit and power consumption.Recently, there have been volumes of existing literature on V2X communications [5][6][7][8][9][10]. In [5], a cooperative automated driving (CAD) system based on collective perception and cooperative maneuver coordination was proposed, which could be applied to several use cases.…”

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confidence: 99%

Stackelberg Game-Based Power Allocation for V2X Communications

Zhang

Yin

2019

Sensors

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Ultra-reliable low-latency communication (URLLC) is one of the three usage scenarios anticipated for 5G, which plays an important role in advanced applications of vehicle-to-everything (V2X) communications. In this paper, the Stackelberg game-based power allocation problem was investigated in V2X communications underlaying cellular networks. Assuming that the macro-cellular base station (MBS) sets the interference prices to protect itself from the V2X users (VUEs), the Stackelberg game was adopted to analyze the interaction between MBS and VUEs, where the former acts as a leader and the latter act as followers. For MBS, we aimed at maximizing its utility from interference revenue while considering the cost of interference. Meanwhile, the VUEs aimed at maximizing their utilities per unit power consumption. We analyzed the Stackelberg model and obtained the optimal prices for MBS and optimal transmit powers for VUEs. Simulation results demonstrated the superiority of the proposed Stackelberg game-based power allocation scheme in comparison with the traditional power allocation strategy. Meanwhile, the proposed scheme achieved a better trade-off between economic profit and power consumption.Recently, there have been volumes of existing literature on V2X communications [5][6][7][8][9][10]. In [5], a cooperative automated driving (CAD) system based on collective perception and cooperative maneuver coordination was proposed, which could be applied to several use cases. The authors of [6] investigated the impact of the new radio (NR) flexible numerology on the cellular-vehicle-to-anything (C-V2X) autonomous access mode. The authors of [7] examined the possibility of using the V2X systems at sea and discussed the challenges. In [8,9], the performance comparison of IEEE 802.11p and C-V2X was presented. Moreover, the temporal and spatial dynamics of the V2X network were investigated in [10].In spite of the above attractive features and application scenarios, there are also a great number of problems in the coexistence of V2X communication and other networks, such as the resource allocation (RA), interference management on account of co-channel interference (CCI) caused by spectrum reuse. In order to solve these problems and achieve technical breakthroughs, several related works have been done in terms of RA, power control, congestion control, link scheduling, interference coordination, and so on [11][12][13][14][15][16][17][18][19][20][21][22][23]. The authors of [11] focused on the existing RA algorithms for V2X communications, and these algorithms were classified and compared with each other according to selected criteria. In [12,13], an RA problem among safety VUEs, non-safety VUEs, and conventional cellular UEs (CUEs) was studied. The authors of [14] proposed a novel hybrid scheme based on C-V2X technology to improve latency and reliability performance. A cooperative solution for V2X communications was proposed in [15], which could guarantee reliability and latency requirements for 5G enhanced V2X services. In [16], th...

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Survey and Perspectives of Vehicular Wi-Fi versus Sidelink Cellular-V2X in the 5G Era

Cited by 115 publications

References 30 publications

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

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

Spatio-Temporal Dynamics of Cellular V2X Communication in Dense Vehicular Networks

Stackelberg Game-Based Power Allocation for V2X Communications

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