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
고속철도(HSR) 시나리오에 밀리미터파(mmWave) 방향성 전송 기술을 적용하면 대기 시간이 짧은 여러 기가비트 데이터 속도의 목표를 달성하는 데 도움이 됩니다. 그러나 열차의 높은 이동성으로 인해 시간 소모가 많은 기존의 초기 액세스(IA) 방식은 빔 정렬의 효율성을 보장하기 어렵습니다. 또한 밀리미터파 원격 무선 장치(mmW-RRU)의 적용 범위 가장자리에서 높은 경로 손실은 IA 성능의 안정성에 큰 도전을 가져올 것입니다. 다행히 HSR 시나리오의 열차 궤적은 주기적이고 규칙적입니다. 또한, 셀 프리 네트워크는 시스템 커버리지 성능을 향상시키는 데 도움이 됩니다. 이러한 관찰을 바탕으로 본 논문에서는 열차가 수신된 신호 품질에 따라 mmW-RRU 세트를 유연하게 선택할 수 있는 셀 프리 네트워크의 위치 및 이력 정보를 기반으로 하는 효율적인 IA 방식을 제안합니다. 철저한 검색과 위치 및 이력 정보를 기반으로 협업적 IA 프로세스를 구체적으로 분석하고, IA 성공 확률 및 지연에 대한 표현식을 도출하고 수치 분석을 수행합니다. 결과는 제안한 방식이 IA 지연을 크게 줄이고 IA 성공 확률의 안정성을 효과적으로 향상시킬 수 있음을 보여줍니다.
Chang SUN
Southeast University
Xiaoyu SUN
Southeast University
Jiamin LI
Southeast University,Purple Mountain Laboratories
Pengcheng ZHU
Southeast University,Purple Mountain Laboratories
Dongming WANG
Southeast University,Purple Mountain Laboratories
Xiaohu YOU
Southeast University,Purple Mountain Laboratories
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부
Chang SUN, Xiaoyu SUN, Jiamin LI, Pengcheng ZHU, Dongming WANG, Xiaohu YOU, "Location and History Information Aided Efficient Initial Access Scheme for High-Speed Railway Communications" in IEICE TRANSACTIONS on Communications,
vol. E107-B, no. 1, pp. 214-222, January 2024, doi: 10.1587/transcom.2023EBP3064.
Abstract: The application of millimeter wave (mmWave) directional transmission technology in high-speed railway (HSR) scenarios helps to achieve the goal of multiple gigabit data rates with low latency. However, due to the high mobility of trains, the traditional initial access (IA) scheme with high time consumption is difficult to guarantee the effectiveness of the beam alignment. In addition, the high path loss at the coverage edge of the millimeter wave remote radio unit (mmW-RRU) will also bring great challenges to the stability of IA performance. Fortunately, the train trajectory in HSR scenarios is periodic and regular. Moreover, the cell-free network helps to improve the system coverage performance. Based on these observations, this paper proposes an efficient IA scheme based on location and history information in cell-free networks, where the train can flexibly select a set of mmW-RRUs according to the received signal quality. We specifically analyze the collaborative IA process based on the exhaustive search and based on location and history information, derive expressions for IA success probability and delay, and perform the numerical analysis. The results show that the proposed scheme can significantly reduce the IA delay and effectively improve the stability of IA success probability.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2023EBP3064/_p
부
@ARTICLE{e107-b_1_214,
author={Chang SUN, Xiaoyu SUN, Jiamin LI, Pengcheng ZHU, Dongming WANG, Xiaohu YOU, },
journal={IEICE TRANSACTIONS on Communications},
title={Location and History Information Aided Efficient Initial Access Scheme for High-Speed Railway Communications},
year={2024},
volume={E107-B},
number={1},
pages={214-222},
abstract={The application of millimeter wave (mmWave) directional transmission technology in high-speed railway (HSR) scenarios helps to achieve the goal of multiple gigabit data rates with low latency. However, due to the high mobility of trains, the traditional initial access (IA) scheme with high time consumption is difficult to guarantee the effectiveness of the beam alignment. In addition, the high path loss at the coverage edge of the millimeter wave remote radio unit (mmW-RRU) will also bring great challenges to the stability of IA performance. Fortunately, the train trajectory in HSR scenarios is periodic and regular. Moreover, the cell-free network helps to improve the system coverage performance. Based on these observations, this paper proposes an efficient IA scheme based on location and history information in cell-free networks, where the train can flexibly select a set of mmW-RRUs according to the received signal quality. We specifically analyze the collaborative IA process based on the exhaustive search and based on location and history information, derive expressions for IA success probability and delay, and perform the numerical analysis. The results show that the proposed scheme can significantly reduce the IA delay and effectively improve the stability of IA success probability.},
keywords={},
doi={10.1587/transcom.2023EBP3064},
ISSN={1745-1345},
month={January},}
부
TY - JOUR
TI - Location and History Information Aided Efficient Initial Access Scheme for High-Speed Railway Communications
T2 - IEICE TRANSACTIONS on Communications
SP - 214
EP - 222
AU - Chang SUN
AU - Xiaoyu SUN
AU - Jiamin LI
AU - Pengcheng ZHU
AU - Dongming WANG
AU - Xiaohu YOU
PY - 2024
DO - 10.1587/transcom.2023EBP3064
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E107-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2024
AB - The application of millimeter wave (mmWave) directional transmission technology in high-speed railway (HSR) scenarios helps to achieve the goal of multiple gigabit data rates with low latency. However, due to the high mobility of trains, the traditional initial access (IA) scheme with high time consumption is difficult to guarantee the effectiveness of the beam alignment. In addition, the high path loss at the coverage edge of the millimeter wave remote radio unit (mmW-RRU) will also bring great challenges to the stability of IA performance. Fortunately, the train trajectory in HSR scenarios is periodic and regular. Moreover, the cell-free network helps to improve the system coverage performance. Based on these observations, this paper proposes an efficient IA scheme based on location and history information in cell-free networks, where the train can flexibly select a set of mmW-RRUs according to the received signal quality. We specifically analyze the collaborative IA process based on the exhaustive search and based on location and history information, derive expressions for IA success probability and delay, and perform the numerical analysis. The results show that the proposed scheme can significantly reduce the IA delay and effectively improve the stability of IA success probability.
ER -