Performance Analysis of Cellular-V2X with Adaptive &amp; Selective Power Control

Saifuddin, Md; Zaman, Mahdi; Toghi, Behrad; Fallah, Yaser P.; Rao, Jayanthi

doi:10.1109/cavs51000.2020.9334605

Cited by 22 publications

(17 citation statements)

References 16 publications

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“…Power control algorithms are also proposed in [94], [95], showing that a reduction of the transmission power in congested situations leads to some improvement. The work in [96] considers the co-existence of periodic and event-driven messages. Achieved results demonstrate that transmission power control of periodic messages can be highly beneficial for higher priority event-driven messages.…”

Section: B Congestion Control Investigationmentioning

confidence: 99%

“…Summary and open issues: Already a number of studies have shown relatively small impact of power variations and suggested to mostly focus on packet generation rate. This rule appears however subject to exceptions, as shown in [96], when high-priority messages are considered. The same paper is indeed the only one among those reviewed that considers more than one class of traffic (basic safety versus eventdriven messages), implying that the impact of congestion control with packets of various sizes and different priorities appears as an open issue.…”

Section: B Congestion Control Investigationmentioning

confidence: 99%

“…LTEV2VSim Adaptive adaptation of transmission rate and power improves performance in both urban and highway scenarios Yoon, 2020 [93] Packet transmission rate, transmission power SAE LTEV2VSim Adjustment of the rate control function to react to congestion in a more relaxed manner Kang, 2018 [94] Transmission power Generic LTEV2VSim A small improvement of PRR is shown in congested scenarios reducing the transmission power Haider, 2019 [95] Transmission power Generic LTEV2VSim Proposes an algorithm able to optimize the transmission power Saifuddin, 2020 [96] Transmission power SAE ns-3 High-priority event-driven messages benefit from adaptive transmission power for BSMs Choi, 2020 [97] Packet transmission rate, transmission power SAE LTEV2Vsim Adaptive control of transmission power/packet transmission rate under congestion according to QoS requirements of messages to be transmitted Naik, 2020 [98] Adaptive HARQ Generic ns-3 HARQ if CBR is low, deactivated if CBR is high…”

Section: Genericmentioning

confidence: 99%

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On the Design of Sidelink for Cellular V2X: A Literature Review and Outlook for Future

et al. 2021

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Connected and fully automated vehicles are expected to revolutionize our mobility in the near future on a global scale, by significantly improving road safety, traffic efficiency, and traveling experience. Enhanced vehicular applications, such as cooperative sensing and maneuvering or vehicle platooning, heavily rely on direct connectivity among vehicles, which is enabled by sidelink communications. In order to set the ground for the core contribution of this paper, we first analyze the main streams of the cellular-vehicle-to-everything (C-V2X) technology evolution within the Third Generation Partnership Project (3GPP), with focus on the sidelink air interface. Then, we provide a comprehensive survey of the related literature, which is classified and critically dissected, considering both the Long-Term Evolutionbased solutions and the 5G New Radio-based latest advancements that promise substantial improvements in terms of latency and reliability. The wide literature review is used as a basis to finally identify further challenges and perspectives, which may shape the C-V2X sidelink developments in the next-generation vehicles beyond 5G.INDEX TERMS 5G, Cellular-vehicle-to-everything, literature review, new radio, sidelink.

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Section: B Congestion Control Investigationmentioning

confidence: 99%

Section: B Congestion Control Investigationmentioning

confidence: 99%

Section: Genericmentioning

confidence: 99%

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On the Design of Sidelink for Cellular V2X: A Literature Review and Outlook for Future

et al. 2021

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“…Rate control is therefore directly proportional to end-to-end latency. The C-V2X MAC, however, can introduce a time offset (on average 50 ms) when translating a packet because of semi-persistent scheduling (SPS) operations [30].…”

Section: Cellular-based Networkmentioning

confidence: 99%

An Analysis on Contemporary MAC Layer Protocols in Vehicular Networks: State-of-the-Art and Future Directions

et al. 2021

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Traffic density around the globe is increasing on a day-to-day basis, resulting in more accidents, congestion, and pollution. The dynamic vehicular environment induces challenges in designing an efficient and reliable protocol for communication. Timely delivery of safety and non-safety messages is necessary for traffic congestion control and for avoiding road mishaps. For efficient resource sharing and optimized channel utilization, the media access control (MAC) protocol plays a vital role. An efficient MAC protocol design can provide fair channel access and can delay constraint safety message dissemination, improving road safety. This paper reviews the applications, characteristics, and challenges faced in the design of MAC protocols. A classification of the MAC protocol is presented based on contention mechanisms and channel access. The classification based on contention is oriented as contention-based, contention-free, and hybrid, whereas the classification based on channel access is categorized as distributed, centralized, cluster-based, cooperative, token-based, and random access. These are further sub-classified as single-channel and multi-channel, based on the type of channel resources they utilize. This paper gives an analysis of the objectives, mechanisms, advantages/disadvantages, and simulators used in specified protocols. Finally, the paper concludes with a discussion on the future scope and open challenges for improving the MAC protocol design.

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“…A valid and realistic physical layer realization is of great importance in a vehicular communication simulation. We used a high-fidelity link-level event-based ns-3 network simulator [15] to simulate the IPG values [10] and to implement the distributed congestion control algorithm specified in SAE J2945/1 standard on top of the C-V2X stack [11], [16], [17]. The Markov chain model is used to represent temporally dependent link properties, link transmission scheduling strategies, cochannel interference avoidance methods, among others.…”

Section: A Markov Chain Modeling For Ipgmentioning

confidence: 99%

Finite State Markov Modeling of C-V2X Erasure Links For Performance and Stability Analysis of Platooning Applications

Razzaghpour¹,

Datar²,

Schneider³

et al. 2021

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Cooperative driving systems, such as platooning, rely on communication and information exchange to create situational awareness for each agent. Design and performance of control components are therefore tightly coupled with communication component performance. The information flow between vehicles can significantly affect the dynamics of a platoon. Therefore, both the performance and the stability of a platoon depend not only on the vehicle's controller but also on the information flow Topology (IFT). The IFT can cause limitations for certain platoon properties, i.e., stability and scalability. Cellular Vehicle-To-Everything (C-V2X) has emerged as one of the main communication technologies to support connected and automated vehicle applications. As a result of packet loss, wireless channels create random link interruption and changes in network topologies. In this paper, we model the communication links between vehicles with a first-order Markov model to capture the prevalent time correlations for each link. These models enable performance evaluation through better approximation of communication links during system design stages. Our approach is to use data from experiments to model the Inter-Packet Gap (IPG) using Markov chains and derive transition probability matrices for consecutive IPG states. Training data is collected from high fidelity simulations using models derived based on empirical data for a variety of different vehicle densities and communication rates. Utilizing the IPG models, we analyze the mean-square stability of a platoon of vehicles with the standard consensus protocol tuned for ideal communication and compare the degradation in performance for different scenarios. We additionally present some initial theoretical results that shed some light on the connection between the independent identical distributed (i.i.d.) modeling approach which neglects the time correlations in links and the proposed Markovian approach.

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Performance Analysis of Cellular-V2X with Adaptive & Selective Power Control

Cited by 22 publications

References 16 publications

On the Design of Sidelink for Cellular V2X: A Literature Review and Outlook for Future

On the Design of Sidelink for Cellular V2X: A Literature Review and Outlook for Future

An Analysis on Contemporary MAC Layer Protocols in Vehicular Networks: State-of-the-Art and Future Directions

Finite State Markov Modeling of C-V2X Erasure Links For Performance and Stability Analysis of Platooning Applications

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