Heterogeneous V2V Communications in Multi-Link and Multi-RAT Vehicular Networks

Sepulcre, Miguel; Gozálvez, Javier

doi:10.1109/tmc.2019.2939803

Cited by 51 publications

(23 citation statements)

References 20 publications

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“…The road infrastructure may provide connectivity coverage by means of different radio access technologies (RATs), including LTE and 5G NR, operated in different bands and provided by a common operator. Heterogeneous V2X communications can help addressing the bandwidth and scalability requirements that future vehicular networks will face [ 13 ]. This may provide an opportunity for a vehicle to utilise simultaneous connections for increased capacity through bonding or enhance reliability through the inherent redundancy.…”

Section: 5g Technologies Beyond Release 15mentioning

confidence: 99%

5G Beyond 3GPP Release 15 for Connected Automated Mobility in Cross-Border Contexts

Vélez

Martín

Pastor

et al. 2020

Sensors

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Fifth-generation (5G) mobile networks aim to be qualified as the core connectivity infrastructures to address connected automated mobility (CAM), both from a technological and from a business perspective, for the higher automation levels defined by the automotive industry. Specifically, in some territories such as the European Union the cross-border corridors have relevance, as they are the cohesive paths for terrestrial transport. Therefore, 5G for CAM applications is planned to be deployed there first. However, cross-border contexts imply paramount communication challenges, such as seamless roaming, not addressed by current technology. This paper identifies relevant future 5G enhancements, specifically those specified by Third-Generation Partnership Project (3GPP) releases beyond Release 15, and outlines how they will support the ambitions of highly automated driving in cross-border corridors. In order to conduct this study, a set of representative use cases and the related communication requirements were identified. Then, for each use case, the most relevant 5G features were proposed. Some open issues are described at the end.

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Section: 5g Technologies Beyond Release 15mentioning

confidence: 99%

5G Beyond 3GPP Release 15 for Connected Automated Mobility in Cross-Border Contexts

Vélez

Martín

Pastor

et al. 2020

Sensors

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“…A survey conducted by a researcher in Reference [19] showed the need for a novel design considering heterogeneous VANET [20,21]. In Reference [20], for improving scalability and bandwidth utilization, they presented a distributed context-aware heterogeneous VANET association that dynamically selects its radio access technology in an autonomous manner based on user/application QoS prerequisite. In Reference [21], for enhancing quality of experience (QoE), they presented a hybrid model by combining a software defined network with VANET.…”

Section: Related Workmentioning

confidence: 99%

“…Further, number of alternative access technology using 80211ax [17] and 802.11bd [18]. The number of hybrid models is presented along with considering heterogeneous network [19,20,21]. However, none of these models has been evaluated under different radio propagation environments.…”

Section: Introductionmentioning

confidence: 99%

Performance Enriching Channel Allocation Algorithm for Vehicle-to-Vehicle City, Highway and Rural Network

Al-Absi

Lee

2019

Sensors

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Future safety applications require the timely delivery of messages between vehicles. The 802.11p has been standardized as the standard Medium Access Control (MAC) protocol for vehicular communication. The 802.11p uses Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) as MAC. CSMA/CA induces unbounded channel access delay. As a result, it induces high collision. To reduce collision, distributed MAC is required for channel allocation. Many existing approaches have adopted Time Division Multiple Access (TDMA) based MAC design for channel allocation. However, these models are not efficient at utilizing bandwidth. Cognitive radio technique is been adopted by various existing approach for channel allocation in shared channel network to maximize system throughput. However, it induces MAC overhead, and channel allocation on a shared channel network is considered to be an NP-hard problem. This work addresses the above issues. Here we present distributed MAC design PECA (Performance Enriching Channel Allocation) for channel allocation in a shared channel network. The PECA model maximizes the system throughput and reduces the collision, which is experimentally proven. Experiments are conducted to evaluate the performance in terms of throughput, collision and successful packet transmission considering a highly congested vehicular ad-hoc network. Experiments are carried out to show the adaptiveness of proposed MAC design considering different environments such City, Highway and Rural (CHR).

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“…In order to provide seamless connectivity and avoid link failures proactively, future communication technologies will rely on short and mid term predictions of the radio channel quality and meaningful endto-end indicators. Context-aware and anticipatory [2] mobile networking principles such as opportunistic channel access [3] and dynamic Radio Access Technology (RAT) selection [4] have been demonstrated to be able to significantly improve the end-to-end Quality of Service (QoS) of challenging data links. In order to fulfill the requirements of upcoming 5G networks for Ultra Reliable Low Latency Communications (URLLC), Massive Machine-type Communications (mMTC), and Enhanced Mobile Broadband (eMBB), these methods need In this paper, we present DDNS as a novel approach for simulating the end-to-end behavior of vehicular communication networks.…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Network Simulation for Performance Analysis of Anticipatory Vehicular Communication Systems

Sliwa

Wietfeld

2019

IEEE Access

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IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, including reprinting/republishing this material for advertising or promotional purposes, collecting new collected works for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Abstract-The provision of reliable connectivity is envisioned as a key enabler for future autonomous driving. Anticipatory communication techniques have been proposed for proactively considering the properties of the highly dynamic radio channel within the communication systems themselves. Since real world experiments are highly time-consuming and lack a controllable environment, performance evaluations and parameter studies for novel anticipatory vehicular communication systems are typically carried out based on network simulations. However, due to the required simplifications and the wide range of unknown parameters (e.g., Mobile Network Operator (MNO)-specific configurations of the network infrastructure), the achieved results often differ significantly from the behavior in real world evaluations. In this paper, we present Data-driven Network Simulation (DDNS) as a novel data-driven approach for analyzing and optimizing anticipatory vehicular communication systems. Different machine learning models are combined for achieving a close to reality representation of the analyzed system's behavior. In a proof of concept evaluation focusing on opportunistic vehicular data transfer, the proposed method is validated against field measurements and system-level network simulation. In contrast to the latter, DDNS does not only provide massively faster result generation, it also achieves a significantly better representation of the real world behavior due to implicit consideration of crosslayer dependencies by the machine learning approach.The authors are with Communication Networks Institute, TU Dortmund University, be brought to the next performance level. The exploitation of machine learning offers the potential to be the catalyst for this development [5], as its inherent strength is to leverage hidden interdependencies between measurable variables, which are mostly too complex to be covered in an analytical solution.The development process of these novel anticipatory vehicular communication systems confronts researchers and engineers with a methodological dilemma: While the most accurate estimations for the future real world performance can be achieved by performing real world experiments, this approach is highly time consuming and lacks a controllable environment. In fact, it is practically impossible to guarantee fairness by evaluating different methods under the exact same network conditions. System-level network simulation based on Discrete Event Simulation (DES) has emerged as the most commonly used scientific method to analyze mobile communication systems [6], due to its capability of solving both issues. However, the necessary model simplifications reduce the significance of...

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Heterogeneous V2V Communications in Multi-Link and Multi-RAT Vehicular Networks

Cited by 51 publications

References 20 publications

5G Beyond 3GPP Release 15 for Connected Automated Mobility in Cross-Border Contexts

5G Beyond 3GPP Release 15 for Connected Automated Mobility in Cross-Border Contexts

Performance Enriching Channel Allocation Algorithm for Vehicle-to-Vehicle City, Highway and Rural Network

Data-Driven Network Simulation for Performance Analysis of Anticipatory Vehicular Communication Systems

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