The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
지각 데이터(예: 카메라 및 LiDAR 데이터)를 다른 차량과 공유하면 차량이 사각지대에 있는 다른 차량과 보행자를 찾는 데 도움이 되기 때문에 자율주행차의 교통 안전이 향상됩니다. 이러한 안전 애플리케이션에는 기존의 마이크로파 차량 통신 시스템으로는 달성할 수 없는 높은 처리량과 짧은 지연이 필요합니다. 따라서 밀리미터파(mmWave) 통신은 넓은 대역폭으로 인해 지각 데이터를 공유하는 핵심 기술로 간주됩니다. mmWave 통신에서 데이터 공유의 과제 중 하나는 방송입니다. 높은 이득을 얻기 위해 협빔 지향성 안테나가 사용되기 때문입니다. 많은 차량이 공유된 지각 데이터를 기반으로 인지할 수 있는 영역을 확대하기 위해서는 짧은 시간 내에 자신의 인지 데이터를 다른 차량과 공유해야 하기 때문에, 지각 데이터 공유를 위해서는 공간 재사용을 향상시키는 효율적인 동시 전송 스케줄링이 필요합니다. 본 논문에서는 그래프 기반 동시 전송 스케줄링을 적용한 데이터 공유 알고리즘을 제안한다. 제안하는 알고리즘은 협빔 안테나의 무선 전파 특성을 고려하여 두 쌍의 송신기와 수신기가 서로 간섭하는지 여부를 판단하는 데 활용되는 규칙을 설계하여 동시 전송을 구현하여 공간 재사용을 향상시킵니다. 지각 데이터의 지리정보를 고려한 우선순위화 방식 역시 데이터 공유 시간이 제한되어 있고 모든 데이터를 공유할 수 없는 상황에서 인지 가능한 영역을 확대하도록 설계됐다. 시뮬레이션 결과, 제안하는 알고리즘은 공간 재사용을 향상시켜 높은 처리량의 전송을 달성하므로 mmWave 통신을 고려하지 않는 기존 알고리즘에 비해 협력적으로 인식 가능한 영역의 면적이 두 배로 늘어난다는 것을 보여줍니다. 또한 우선순위 지정을 통해 인식 가능한 영역이 최대 20%까지 확대됩니다.
Akihito TAYA
Kyoto University
Takayuki NISHIO
Kyoto University
Masahiro MORIKURA
Kyoto University
Koji YAMAMOTO
Kyoto University
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부
Akihito TAYA, Takayuki NISHIO, Masahiro MORIKURA, Koji YAMAMOTO, "Concurrent Transmission Scheduling for Perceptual Data Sharing in mmWave Vehicular Networks" in IEICE TRANSACTIONS on Information,
vol. E102-D, no. 5, pp. 952-962, May 2019, doi: 10.1587/transinf.2018NTP0008.
Abstract: Sharing perceptual data (e.g., camera and LiDAR data) with other vehicles enhances the traffic safety of autonomous vehicles because it helps vehicles locate other vehicles and pedestrians in their blind spots. Such safety applications require high throughput and short delay, which cannot be achieved by conventional microwave vehicular communication systems. Therefore, millimeter-wave (mmWave) communications are considered to be a key technology for sharing perceptual data because of their wide bandwidth. One of the challenges of data sharing in mmWave communications is broadcasting because narrow-beam directional antennas are used to obtain high gain. Because many vehicles should share their perceptual data to others within a short time frame in order to enlarge the areas that can be perceived based on shared perceptual data, an efficient scheduling for concurrent transmission that improves spatial reuse is required for perceptual data sharing. This paper proposes a data sharing algorithm that employs a graph-based concurrent transmission scheduling. The proposed algorithm realizes concurrent transmission to improve spatial reuse by designing a rule that is utilized to determine if the two pairs of transmitters and receivers interfere with each other by considering the radio propagation characteristics of narrow-beam antennas. A prioritization method that considers the geographical information in perceptual data is also designed to enlarge perceivable areas in situations where data sharing time is limited and not all data can be shared. Simulation results demonstrate that the proposed algorithm doubles the area of the cooperatively perceivable region compared with a conventional algorithm that does not consider mmWave communications because the proposed algorithm achieves high-throughput transmission by improving spatial reuse. The prioritization also enlarges the perceivable region by a maximum of 20%.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2018NTP0008/_p
부
@ARTICLE{e102-d_5_952,
author={Akihito TAYA, Takayuki NISHIO, Masahiro MORIKURA, Koji YAMAMOTO, },
journal={IEICE TRANSACTIONS on Information},
title={Concurrent Transmission Scheduling for Perceptual Data Sharing in mmWave Vehicular Networks},
year={2019},
volume={E102-D},
number={5},
pages={952-962},
abstract={Sharing perceptual data (e.g., camera and LiDAR data) with other vehicles enhances the traffic safety of autonomous vehicles because it helps vehicles locate other vehicles and pedestrians in their blind spots. Such safety applications require high throughput and short delay, which cannot be achieved by conventional microwave vehicular communication systems. Therefore, millimeter-wave (mmWave) communications are considered to be a key technology for sharing perceptual data because of their wide bandwidth. One of the challenges of data sharing in mmWave communications is broadcasting because narrow-beam directional antennas are used to obtain high gain. Because many vehicles should share their perceptual data to others within a short time frame in order to enlarge the areas that can be perceived based on shared perceptual data, an efficient scheduling for concurrent transmission that improves spatial reuse is required for perceptual data sharing. This paper proposes a data sharing algorithm that employs a graph-based concurrent transmission scheduling. The proposed algorithm realizes concurrent transmission to improve spatial reuse by designing a rule that is utilized to determine if the two pairs of transmitters and receivers interfere with each other by considering the radio propagation characteristics of narrow-beam antennas. A prioritization method that considers the geographical information in perceptual data is also designed to enlarge perceivable areas in situations where data sharing time is limited and not all data can be shared. Simulation results demonstrate that the proposed algorithm doubles the area of the cooperatively perceivable region compared with a conventional algorithm that does not consider mmWave communications because the proposed algorithm achieves high-throughput transmission by improving spatial reuse. The prioritization also enlarges the perceivable region by a maximum of 20%.},
keywords={},
doi={10.1587/transinf.2018NTP0008},
ISSN={1745-1361},
month={May},}
부
TY - JOUR
TI - Concurrent Transmission Scheduling for Perceptual Data Sharing in mmWave Vehicular Networks
T2 - IEICE TRANSACTIONS on Information
SP - 952
EP - 962
AU - Akihito TAYA
AU - Takayuki NISHIO
AU - Masahiro MORIKURA
AU - Koji YAMAMOTO
PY - 2019
DO - 10.1587/transinf.2018NTP0008
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E102-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2019
AB - Sharing perceptual data (e.g., camera and LiDAR data) with other vehicles enhances the traffic safety of autonomous vehicles because it helps vehicles locate other vehicles and pedestrians in their blind spots. Such safety applications require high throughput and short delay, which cannot be achieved by conventional microwave vehicular communication systems. Therefore, millimeter-wave (mmWave) communications are considered to be a key technology for sharing perceptual data because of their wide bandwidth. One of the challenges of data sharing in mmWave communications is broadcasting because narrow-beam directional antennas are used to obtain high gain. Because many vehicles should share their perceptual data to others within a short time frame in order to enlarge the areas that can be perceived based on shared perceptual data, an efficient scheduling for concurrent transmission that improves spatial reuse is required for perceptual data sharing. This paper proposes a data sharing algorithm that employs a graph-based concurrent transmission scheduling. The proposed algorithm realizes concurrent transmission to improve spatial reuse by designing a rule that is utilized to determine if the two pairs of transmitters and receivers interfere with each other by considering the radio propagation characteristics of narrow-beam antennas. A prioritization method that considers the geographical information in perceptual data is also designed to enlarge perceivable areas in situations where data sharing time is limited and not all data can be shared. Simulation results demonstrate that the proposed algorithm doubles the area of the cooperatively perceivable region compared with a conventional algorithm that does not consider mmWave communications because the proposed algorithm achieves high-throughput transmission by improving spatial reuse. The prioritization also enlarges the perceivable region by a maximum of 20%.
ER -