Future Vehicular(未来汽车)研究综述
Future Vehicular 未来汽车 - These results provide great promise for prediction in future vehicular-based networks and services. [1]这些结果为未来基于车辆的网络和服务的预测提供了巨大的希望。 [1]
future vehicular network 未来车载网络
To better serve future vehicular network, we judiciously design an anti-Doppler index modulation termed as pre-compensation assisted generalized beam index modulation (PC-GBIM) for wideband mmWave massive multiple-input multiple-output (mMIMO) systems. [1] Motivated by such new applications and its accompanying services, future vehicular networks can easily switch from current connected vehicles, mostly vehicle-to-vehicle, to fully heterogeneous V2X networks that support autonomous driving. [2] The development of dual-functional radar-communication (DFRC) systems, where vehicle localization and tracking can be combined with vehicular communication, will lead to more efficient future vehicular networks. [3] Distributed artificial intelligence (AI) is becoming an efficient approach to fulfill the high and diverse requirements for future vehicular networks. [4] An effective method for supporting the large volume of information required for future vehicular networks is leveraging caching techniques as well as relying on millimeter-wave (mmWave) frequencies. [5] However, edge resources from roadside units (RSUs) and base stations are insufficient to match the wide variety of services in future vehicular networks. [6] Knowledge sharing in IoV shows great potential for future vehicular networks. [7] Real-time status update in future vehicular networks is vital to enable control-level cooperative autonomous driving. [8] With the high data rates and ultra-low latency it provides, millimeter-wave (mmWave) communications will be a key enabler for future vehicular networks. [9] Channel assignment among radar sensors and communication transceivers in automotive systems is crucial for the success of future vehicular networks. [10] Millimeter-wave (mmWave) is a promising network access technology to enable the high data rates, high reliability and ultra-low latency required by connected vehicle services in future vehicular networks. [11] Vehicle-to-everything (V2X) communications are regarded as the key technology in future vehicular networks due to its ability in providing efficient and reliable massive connections, improving traffic efficiency and safety, and supporting in-vehicle entertainment and working. [12] The integration of sub-6 GHz and millimeter wave (mmWave) bands has a great potential to enable both reliable coverage and high data rate in future vehicular networks. [13] Vehicle-to-everything (V2X) communications is a key technology for future vehicular networks and applications, which enables vehicles to obtain a broad range of traffic information such as real-time road conditions, road information, pedestrian information, etc. [14] Content caching has brought huge potential for the provisioning of non-safety related infotainment services in future vehicular networks. [15] In future vehicular networks, to satisfy the ever-increasing capacity requirements, ultrahigh-speed directional millimeter-wave (mmWave) communications will be used as vehicle-to-vehicle (V2V) links to disseminate large-volume contents. [16] Future vehicular networks need multi-hop trusted information among car manoeuvres as a solution to the persistent problem of road safety, and news sharing. [17] This paper proposes a hierarchical architecture for computation offloading for future vehicular network. [18] Mission-critical applications in future vehicular networks require highly reliable wireless communications. [19] Vehicle-to-everything (V2X) communications are regarded as the key technology in future vehicular networks due to its ability in improving the traffic efficiency and safety, and reducing congestion. [20] In this paper, we characterize VoI in future vehicular networks, and investigate efficient data dissemination methods to tackle capacity issues. [21] Millimeter-wave (mmWave) is a promising network access technology to enable reliable communications in future vehicular networks, which is expected to be dominated by autonomous vehicles. [22]为了更好地服务于未来的车载网络,我们明智地为宽带毫米波大规模多输入多输出 (mMIMO) 系统设计了一种称为预补偿辅助广义波束指数调制 (PC-GBIM) 的反多普勒指数调制。 [1] 受此类新应用及其配套服务的推动,未来的车辆网络可以轻松地从当前的联网车辆(主要是车对车)切换到支持自动驾驶的完全异构的 V2X 网络。 [2] 双功能雷达通信 (DFRC) 系统的发展,其中车辆定位和跟踪可以与车辆通信相结合,将导致更高效的未来车辆网络。 [3] 分布式人工智能 (AI) 正在成为满足未来车载网络的高和多样化需求的有效方法。 [4] 支持未来车载网络所需的大量信息的一种有效方法是利用缓存技术以及依赖毫米波 (mmWave) 频率。 [5] 然而,来自路边单元 (RSU) 和基站的边缘资源不足以匹配未来车载网络中的各种服务。 [6] 车联网中的知识共享显示出未来车载网络的巨大潜力。 [7] 未来车辆网络中的实时状态更新对于实现控制级协作自动驾驶至关重要。 [8] 凭借其提供的高数据速率和超低延迟,毫米波 (mmWave) 通信将成为未来车载网络的关键推动力。 [9] 汽车系统中雷达传感器和通信收发器之间的通道分配对于未来车载网络的成功至关重要。 [10] 毫米波 (mmWave) 是一种很有前途的网络接入技术,可实现未来车载网络中联网车辆服务所需的高数据速率、高可靠性和超低延迟。 [11] 车联网(V2X)通信因其能够提供高效可靠的海量连接,提高交通效率和安全性,支持车载娱乐和工作,被视为未来车载网络的关键技术。 [12] 6 GHz 以下和毫米波 (mmWave) 频段的集成具有巨大的潜力,可以在未来的车载网络中实现可靠的覆盖和高数据速率。 [13] 车联网(V2X)通信是未来车载网络和应用的关键技术,使车辆能够获取实时路况、道路信息、行人信息等广泛的交通信息。 [14] 内容缓存为在未来的车载网络中提供非安全相关的信息娱乐服务带来了巨大的潜力。 [15] 在未来的车载网络中,为了满足不断增长的容量需求,超高速定向毫米波 (mmWave) 通信将用作车对车 (V2V) 链路来传播大容量内容。 [16] 未来的车辆网络需要汽车操纵之间的多跳可信信息,以解决道路安全和新闻共享的持续问题。 [17] 本文提出了一种分层架构,用于未来车载网络的计算卸载。 [18] 未来车载网络中的关键任务应用需要高度可靠的无线通信。 [19] 车联网(V2X)通信由于能够提高交通效率和安全性,减少拥堵,被视为未来车载网络的关键技术。 [20] 在本文中,我们描述了未来车辆网络中的 VoI,并研究了有效的数据传播方法来解决容量问题。 [21] 毫米波(mmWave)是一种很有前途的网络接入技术,可以在未来的车载网络中实现可靠的通信,预计未来将由自动驾驶汽车主导。 [22]
future vehicular communication 未来的车载通讯
Millimeter-wave (mmWave) bands are expected to be an important choice for future vehicular communication to support Gbps links for reliable data transfer in high-rate applications. [1] The acquisitionof ultra-reliable low-latency communications (URLLC) services via grant-free access has been specified in 5G to support real-time applications in future vehicular communications scenarios. [2] Millimeter-Wave (mmWave) technology is deemed as a feasible approach for future vehicular communications. [3] This has become a prominent and efficient candidate for future vehicular communication. [4] Finally, a comparison of the core features among the different solutions is presented, together with a brief discussion regarding the main drawbacks of the existing solutions, as well as the necessary steps to provide an integrated fault-tolerant approach to the future vehicular communications systems. [5] A trade-off between half duplex (HD) and FD has been found and the scheme would be applicable even if SIC capability of OBUs is relatively poor, with no need for complicated and expensive devices for future vehicular communication. [6] Cellular networks will be one of the main pillars in the development of future vehicular communications. [7]毫米波 (mmWave) 频段有望成为未来车载通信的重要选择,以支持 Gbps 链路在高速率应用中实现可靠的数据传输。 [1] 5G 已指定通过无授权访问获取超可靠低延迟通信 (URLLC) 服务,以支持未来车载通信场景中的实时应用。 [2] 毫米波(mmWave)技术被认为是未来车载通信的一种可行方法。 [3] 这已成为未来车载通信的一个突出且高效的候选者。 [4] 最后,比较了不同解决方案的核心特性,并简要讨论了现有解决方案的主要缺点,以及为未来车载通信系统提供集成容错方法的必要步骤。 [5] 已发现半双工 (HD) 和 FD 之间的折衷方案,即使 OBU 的 SIC 能力相对较差,该方案也适用,无需复杂和昂贵的设备用于未来的车辆通信。 [6] 蜂窝网络将成为未来车载通信发展的主要支柱之一。 [7]
future vehicular application
Future vehicular applications require sufficient computing and storage resources. [1] To this end, the security features of integrity in smart vehicles were identified and discussed with an emphasis on its potential impact on future vehicular applications. [2]未来的车载应用需要足够的计算和存储资源。 [1] 为此,我们确定并讨论了智能车辆完整性的安全特性,并强调了其对未来车辆应用的潜在影响。 [2]
future vehicular system 未来的车载系统
However future vehicular systems also defined as intelligent VANETs will require a hybrid traffic forecasting model that predicts the vehicular traffic for varying values of time. [1] The conclusion suggests that an ethernet-based architecture could be a good architecture for future vehicular systems; it enables them to meet future security needs while still allowing network communication with outside systems. [2]然而,未来的车辆系统也被定义为智能 VANET,需要混合交通预测模型来预测不同时间值的车辆交通。 [1] 结论表明,基于以太网的架构可能是未来车辆系统的良好架构;它使他们能够满足未来的安全需求,同时仍然允许与外部系统进行网络通信。 [2]