Pseudo-Broadcast: An Alternative Mode of Vehicular Communication for Platooning

Kuk, Seungho; Park, Yongtae; Kim, Hyogon

doi:10.1109/mcom.2019.1800941

Cited by 7 publications

(4 citation statements)

References 10 publications

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“…The stability and safety of the platoon are improved significantly by sharing the basic safety messages and cooperative awareness messages among vehicles [21]. The communications in a platoon include: (1) downlink, the PL broadcasts periodic information such as running speed, acceleration, position, brake, and communication resource allocation decisions to the PMs; and (2) uplink, PMs send beacon messages (such as confirmation message, position, and speed) and randomly generated requests (i.e., joining or leaving a platoon) to the PL [12], [16]. The message transmission requires high reliability and low latency to prevent vehicle collision, especially when the inner-platoon space is small and the velocity of vehicles is high [22].…”

Section: Related Workmentioning

confidence: 99%

“…In a C-V2X (cellular vehicle-to-everything) network system, the number of vehicles communicating simultaneously can be improved significantly via subchannel size selection and resource block pairs allocation [24]. However, the scarcity of radio resources is still challenging, as the platoon needs to occupy more resource blocks for the non-congestion and high-rate communication [14], [16].…”

Section: Related Workmentioning

confidence: 99%

“…According to ( 2) and ( 6), if the platoon size is fixed, a larger distance headway d leads to a higher transmission power. To reduce the power consumption, we need to decrease d. However, a platoon with small d requires a high QoS, i.e., a higher SINR is required to further decrease the outage probability to achieve a lower latency, and a large β 0 brings a high transmission power [16]. Instead of achieving a trade-off, in this paper, we focus on designing a power allocation strategy constrained by the preset SINR.…”

Section: Remarkmentioning

confidence: 99%

“…However, few literature works focus on the safetyrelated message transmission with NOMA-aided vehicular communication, which requires a low-latency transmission power management [10]. This paper applies the powerdomain NOMA in the vehicle platooning, which is an important application in 5G networks [16], [17]. Fig.…”

Section: Introductionmentioning

confidence: 99%

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Control Efficient Power Allocation of Uplink NOMA in UAV-Aided Vehicular Platooning

Sun¹,

Tang

2021

IEEE Access

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Power allocation in non-orthogonal multiple access (NOMA) systems is essential to avoid multi-user detection failure. However, controlling the uplink transmission power brings extra signaling overhead, especially in dynamic environments. In this paper, we investigate the uplink transmission power allocation problem in an unmanned aerial vehicle (UAV)-aided platooning NOMA system, where the UAV acts as a relay to assist inter-vehicle communications. Platoon vehicles are admitted to the same vehicle-to-UAV (V2U) channel via our proposed sequence-based power allocation (SPA) strategy. Instead of achieving the optimal energy efficiency, our goal is to design a simple yet effective power control scheme. Specially, in SPA strategy, vehicles determine their transmission power according to their positions in the platoon. Considering platoon dynamics due to vehicle mobility, a power-reserved mechanism is further incorporated in the proposed strategy to pre-allocate power resources for newly joined vehicles. In addition, a power-moving mechanism is further employed to guarantee the uplink signal-to-interferenceplus-noise ratio (SINR) of vehicles by changing vehicle transmission power into higher levels during vehicle leaving a platoon. As the system only needs to update vehicle positions for the SPA strategy, only a small amount of signaling is required in our power allocation strategy. Extensive simulation results are provided to demonstrate that the proposed SPA strategy ensures the required SINR of platoon communication in different dynamic scenarios.INDEX TERMS UAV relay, vehicle platooning, non-orthogonal multiple access, power allocation.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Remarkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Control Efficient Power Allocation of Uplink NOMA in UAV-Aided Vehicular Platooning

Sun¹,

Tang

2021

IEEE Access

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An Improved Scheme for Vehicular Platooning using Adaptive Acknowledgement Timeout method

Farooq

Pasha

Khan

2021

J. Phys.: Conf. Ser.

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Platooning provides the potential for substantial benefits in terms of safety, energy conservation and cost reduction. Early analysis has already demonstrated that 65 percent of existing long-haul freight miles could feasibly form platoons, lowering the usage of cumulative vehicle fuel by 4 percent. The emergence of newer communication technologies like the vehicle-to-vehicle networking in the short-range paradigm and device to device communication in 5G paradigm can be used to setup virtual links among multiple vehicles like trucks to form platoons. The vehicular networks are prone to varying channel conditions due to high mobility of nodes. The present work addresses the issue of forming platoons using an adaptive acknowledgement scheme to offer better channel usage and less packet loss. It outperforms existing schemes that uses a static model for message exchange to form vehicular platoons.

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A Survey on Cooperative Architectures and Maneuvers for Connected and Automated Vehicles

Hafner

Bajpai²,

Ott³

et al. 2022

IEEE Commun. Surv. Tutorials

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Pseudo-Broadcast: An Alternative Mode of Vehicular Communication for Platooning

Cited by 7 publications

References 10 publications

Control Efficient Power Allocation of Uplink NOMA in UAV-Aided Vehicular Platooning

Control Efficient Power Allocation of Uplink NOMA in UAV-Aided Vehicular Platooning

An Improved Scheme for Vehicular Platooning using Adaptive Acknowledgement Timeout method

A Survey on Cooperative Architectures and Maneuvers for Connected and Automated Vehicles

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