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
조회수
108
도로 교통 충돌은 매우 심각하고 종종 치명적인 문제입니다. 이러한 충돌을 완화하기 위한 유망한 접근 방식 중 하나는 모바일 네트워크를 통해 차량과 카메라에서 얻은 도로 교통 정보를 공유하는 연결된 자동차 서비스를 사용하는 것입니다. 커넥티드 카 서비스에서는 데이터 청크가 특정 마감 시간 내에 목적지 노드에 도착하는 것이 중요합니다. 본 논문에서는 차량(또는 카메라)에서 MEC 서버를 거쳐 동일한 차량(또는 카메라)으로 이동하는 흐름을 미션 크리티컬(MC) 흐름으로 정의하고, MC 흐름의 데드라인을 MC 데드라인이라 부른다. 우리의 연구 목표는 무선 업링크와 다운링크를 모두 통과하는 MC 흐름에 대해 MC 기한 내에 더 높은 도착률을 달성하는 것입니다. 우리는 이전에 무선 품질 외에 청크 크기와 특정 데드라인 제약을 고려하고 이를 활용하여 데드라인 제약이 충족되도록 사용자의 우선순위를 지정하는 품질 변동을 고려한 데드라인 인식 스케줄러(DAS-QF)를 개발했습니다. 하지만, 본 DAS-QF에서는 eNB(evolved NodeB)의 혼잡 수준이 eNB 위치에 따라 다르다는 점이나, 동일한 eNB 내에서 상향링크 혼잡 수준이 하향링크 혼잡 수준과 다르다는 점을 고려하지 않습니다. 따라서 DAS-QF에서는 MC 플로우의 일부 데이터 청크가 혼잡 상황에서 업링크 또는 다운링크 데드라인을 초과하면 MC 데드라인을 초과하지 않더라도 eNB에서 폐기됩니다. 본 논문에서는 업링크 및 다운링크 데드라인 초과로 인한 eNB 패킷 드롭 확률을 줄이기 위해 MC 흐름의 혼잡 수준에 따라 MC 흐름에 대한 업링크 및 다운링크 데드라인 각각을 적응적으로 설정하는 데드라인 조정 기능(DCF)을 제안합니다. 각 링크. 시뮬레이션 결과에 따르면 DCF가 포함된 DAS-QF는 자체 DAS-QF에 비해 MC 마감일 내에 더 높은 도착 비율을 제공하는 것으로 나타났습니다.
Nobuhiko ITOH
Keio University,NEC Corporation
Takanori IWAI
Keio University,NEC Corporation
Ryogo KUBO
Keio University
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
부
Nobuhiko ITOH, Takanori IWAI, Ryogo KUBO, "Congestion-Adaptive and Deadline-Aware Scheduling for Connected Car Services over Mobile Networks" in IEICE TRANSACTIONS on Communications,
vol. E103-B, no. 10, pp. 1117-1126, October 2020, doi: 10.1587/transcom.2019EBT0007.
Abstract: Road traffic collisions are an extremely serious and often fatal issue. One promising approach to mitigate such collisions is the use of connected car services that share road traffic information obtained from vehicles and cameras over mobile networks. In connected car services, it is important for data chunks to arrive at a destination node within a certain deadline constraint. In this paper, we define a flow from a vehicle (or camera) to the same vehicle (or camera) via an MEC server, as a mission critical (MC) flow, and call a deadline of the MC flow the MC deadline. Our research objective is to achieve a higher arrival ratio within the MC deadline for the MC flow that passes through both the radio uplink and downlink. We previously developed a deadline-aware scheduler with consideration for quality fluctuation (DAS-QF) that considers chunk size and a certain deadline constraint in addition to radio quality and utilizes these to prioritize users such that the deadline constraints are met. However, this DAS-QF does not consider that the congestion levels of evolved NodeB (eNB) differ depending on the eNB location, or that the uplink congestion level differs from the downlink congestion level in the same eNB. Therefore, in the DAS-QF, some data chunks of a MC flow are discarded in the eNB when they exceed either the uplink or downlink deadline in congestion, even if they do not exceed the MC deadline. In this paper, to reduce the eNB packet drop probability due to exceeding either the uplink and downlink deadline, we propose a deadline coordination function (DCF) that adaptively sets each of the uplink and downlink deadlines for the MC flow according to the congestion level of each link. Simulation results show that the DAS-QF with DCF offers higher arrival ratios within the MC deadline compared to DAS-QF on its own
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2019EBT0007/_p
부
@ARTICLE{e103-b_10_1117,
author={Nobuhiko ITOH, Takanori IWAI, Ryogo KUBO, },
journal={IEICE TRANSACTIONS on Communications},
title={Congestion-Adaptive and Deadline-Aware Scheduling for Connected Car Services over Mobile Networks},
year={2020},
volume={E103-B},
number={10},
pages={1117-1126},
abstract={Road traffic collisions are an extremely serious and often fatal issue. One promising approach to mitigate such collisions is the use of connected car services that share road traffic information obtained from vehicles and cameras over mobile networks. In connected car services, it is important for data chunks to arrive at a destination node within a certain deadline constraint. In this paper, we define a flow from a vehicle (or camera) to the same vehicle (or camera) via an MEC server, as a mission critical (MC) flow, and call a deadline of the MC flow the MC deadline. Our research objective is to achieve a higher arrival ratio within the MC deadline for the MC flow that passes through both the radio uplink and downlink. We previously developed a deadline-aware scheduler with consideration for quality fluctuation (DAS-QF) that considers chunk size and a certain deadline constraint in addition to radio quality and utilizes these to prioritize users such that the deadline constraints are met. However, this DAS-QF does not consider that the congestion levels of evolved NodeB (eNB) differ depending on the eNB location, or that the uplink congestion level differs from the downlink congestion level in the same eNB. Therefore, in the DAS-QF, some data chunks of a MC flow are discarded in the eNB when they exceed either the uplink or downlink deadline in congestion, even if they do not exceed the MC deadline. In this paper, to reduce the eNB packet drop probability due to exceeding either the uplink and downlink deadline, we propose a deadline coordination function (DCF) that adaptively sets each of the uplink and downlink deadlines for the MC flow according to the congestion level of each link. Simulation results show that the DAS-QF with DCF offers higher arrival ratios within the MC deadline compared to DAS-QF on its own},
keywords={},
doi={10.1587/transcom.2019EBT0007},
ISSN={1745-1345},
month={October},}
부
TY - JOUR
TI - Congestion-Adaptive and Deadline-Aware Scheduling for Connected Car Services over Mobile Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1117
EP - 1126
AU - Nobuhiko ITOH
AU - Takanori IWAI
AU - Ryogo KUBO
PY - 2020
DO - 10.1587/transcom.2019EBT0007
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E103-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2020
AB - Road traffic collisions are an extremely serious and often fatal issue. One promising approach to mitigate such collisions is the use of connected car services that share road traffic information obtained from vehicles and cameras over mobile networks. In connected car services, it is important for data chunks to arrive at a destination node within a certain deadline constraint. In this paper, we define a flow from a vehicle (or camera) to the same vehicle (or camera) via an MEC server, as a mission critical (MC) flow, and call a deadline of the MC flow the MC deadline. Our research objective is to achieve a higher arrival ratio within the MC deadline for the MC flow that passes through both the radio uplink and downlink. We previously developed a deadline-aware scheduler with consideration for quality fluctuation (DAS-QF) that considers chunk size and a certain deadline constraint in addition to radio quality and utilizes these to prioritize users such that the deadline constraints are met. However, this DAS-QF does not consider that the congestion levels of evolved NodeB (eNB) differ depending on the eNB location, or that the uplink congestion level differs from the downlink congestion level in the same eNB. Therefore, in the DAS-QF, some data chunks of a MC flow are discarded in the eNB when they exceed either the uplink or downlink deadline in congestion, even if they do not exceed the MC deadline. In this paper, to reduce the eNB packet drop probability due to exceeding either the uplink and downlink deadline, we propose a deadline coordination function (DCF) that adaptively sets each of the uplink and downlink deadlines for the MC flow according to the congestion level of each link. Simulation results show that the DAS-QF with DCF offers higher arrival ratios within the MC deadline compared to DAS-QF on its own
ER -