2021
DOI: 10.1109/access.2020.3048180
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Beamwidth Optimization for Millimeter-Wave V2V Communication Between Neighbor Vehicles in Highway Scenarios

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Cited by 18 publications
(9 citation statements)
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“…However, frequent beam sweeping will suffer large overhead and is ineffective in high mobility environment. It is necessary to design the beam alignment scheme for mmWave V2V communication between neighbor vehicles on highway with high speed without any searching steps in beam training [233]. The proposed beam alignment method can provide significant throughput improvements compared to general car-following scenarios on the high-way.…”
Section: Elevation Domainmentioning
confidence: 99%
“…However, frequent beam sweeping will suffer large overhead and is ineffective in high mobility environment. It is necessary to design the beam alignment scheme for mmWave V2V communication between neighbor vehicles on highway with high speed without any searching steps in beam training [233]. The proposed beam alignment method can provide significant throughput improvements compared to general car-following scenarios on the high-way.…”
Section: Elevation Domainmentioning
confidence: 99%
“…In a vehicular network with mmWave connections between vehicles and RSUs, using vehicular relays and V2V links to improve the coverage has been investigated in several studies, including [19], [33]- [36]. The analysis in [19] demonstrates that V2V sidelinks can be a promising technology to improve coverage and block-error-rate (BLER) performance of a V2X network.…”
Section: B Mmwave V2v Model and Coveragementioning
confidence: 99%
“…In the presence of blockage, the study in [35] proposes a connectivity control mechanism for mmWave vehicular relays to enhance the coverage of RSUs. Finally, the authors in [36] propose using a position-based mmWave beam alignment strategy for highway scenarios, rather than the standard beam-sweeping procedure, to improve the throughput performance.…”
Section: B Mmwave V2v Model and Coveragementioning
confidence: 99%
“…The paper [39], instead, proposes the Tx and Rx beamwidths adjustment in V2V communications by a constrained maximization of the average datarate, leveraging inaccurate position information. The work in [39] is extended in [40], where V2V communications in a straight highway scenario with backward propagation of information (from front to rear vehicles) are considered. In particular, the authors in [40] design a Monte Carlobased beamwidth optimization problem to maximize the V2V throughput in the region of the receiver.…”
Section: Introductionmentioning
confidence: 99%
“…The work in [39] is extended in [40], where V2V communications in a straight highway scenario with backward propagation of information (from front to rear vehicles) are considered. In particular, the authors in [40] design a Monte Carlobased beamwidth optimization problem to maximize the V2V throughput in the region of the receiver. However, they only consider the position uncertainty of the Tx vehicle and not of the joint Tx-Rx pair, and they do not account for orientation information (and related mispointing error).…”
Section: Introductionmentioning
confidence: 99%