IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGYIEEE车辆技术汇刊

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY(英文缩写 IEEE T VEH TECHNOL),ISSN 0018-9545,eISSN 1939-9359,中文译名:IEEE车辆技术汇刊 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。

2026 年数据 · 影响因子
7.500
JCR 分区
Q1
CAS 分区
B2
近一年发文量
0
本站 PubMed 收录统计

发文量统计区间:2025-11-01 至 2026-10-31,按本站收录文献的发表日期统计。

ISSN: 0018-9545 · eISSN: 1939-9359 · 缩写: IEEE T VEH TECHNOL ·中文: IEEE车辆技术汇刊

期刊介绍

选择期刊介绍栏目

期刊简介

IEEE Transactions on Vehicular Technology 是车辆与移动通信技术领域的国际权威期刊,涵盖无线通信、车载网络、智能交通系统、电动与混合动力车辆、自动驾驶及交通电气化等方向。读者群包括通信、交通、汽车与电力电子领域的研究人员、工程师及研究生,强调理论创新与工程应用的结合。

研究方向

主要发表车辆通信与网络、无线传播与信道建模、智能交通系统、自动驾驶与感知、电动车辆动力系统、能量管理与充电基础设施、交通电气化及车联网安全等方向的研究。论文类型以原创研究论文为主,兼有综述与专题文章。

期刊特色

研究取向偏重理论建模、算法设计与系统验证,常要求仿真或实测支撑,强调对车辆与移动通信交叉问题的实质推进。适合通信、交通、汽车电子及电力电子背景的研究者,尤其是关注车联网与智能交通系统应用的作者。

投稿难度

投稿难度较高,审稿对创新性、理论深度与实验验证要求严格,交叉领域稿件还需兼顾通信与车辆工程的双重标准。建议在投稿前明确问题定位,完善对比实验与性能分析,并针对目标方向选择合适的技术委员会或专题。

历年影响因子趋势

JCR 数据年份影响因子JCR 分区
20216.239Q1
20226.800Q1
20236.100Q1
20247.100Q1
20257.500Q1

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 最新收录文献

  1. JCR分区: Q1 CAS分区: B2 影响因子: 7.5

    1. Attractor selection based limited feedback hybrid precoding for uplink V2I communications.

    作者:
    Junliang Ye, Hamid Gharavi
    日期:
    2020

    As an essential part of vehicle networks, the Vehicle to Infrastructure (V2I) needs the support of millimeter wave and massive MIMO technologies to enable high data rate applications, such as automated driving, real-time high-quality multimedia services and so on. As the scale of the antenna array increases, the complexity of the beamforming and channel estimation algorithms under high mobility conditions also increases significantly. In particular, highly robust beamforming methods need to cope with fast changing transmission environments. In this paper, we adopt a biological inspired self-adaptive selection algorithm called attractor selection algorithm (ASA) to support uplink beamforming. The ASA requires only a little feedback information from the Road Side Infrastructure (RSI) to perform fast beam training, hence making the transmission link more stable. The simulation results indicate that the proposed ASA-assisted algorithm can significantly reduce the time required to achieve a timely beam training, which would be essential for V2I high communications under high mobility conditions.

  2. JCR分区: Q1 CAS分区: B2 影响因子: 7.5

    2. Spectral and Energy Efficiencies of Millimeter Wave MIMO With Configurable Hybrid Precoding.

    作者:
    Zhong Zheng, Hamid Gharavi
    日期:
    2019

    Hybrid precoding architectures are widely studied for millimeter wave (mmWave) massive MIMO systems. A major challenge in designing hybrid precoders is the practical constraints on the number of RF chains, which can have a direct impact on the spectral and energy efficiencies of the communication systems. In this paper, we investigate tradeoff between the two performance metrics in both static and mobile communication scenarios via closed-form expressions, when the number of active RF chains can be selected. Based on these expressions, the computational complexity to configure the hybrid precoder is reduced, which can be used to adaptively activate required RF chains for the given MIMO system and channel condition. Numerical results indicate that a certain number of RF chains should be activated in order to maximize energy efficiency at high SNRs, which is generally different from the optimal configuration to maximize spectral efficiency. Further-more, for low SNRs, we have shown that a simple analog beamforming, which uses only a single RF chain, is optimal for both spectral and energy efficiencies. In addition, the proposed mobility-aware hybrid precoding is shown to be capable of effectively achieving beamforming gain between high-speed mobile devices.

  3. JCR分区: Q1 CAS分区: B2 影响因子: 7.5

    3. Energy-Efficient SWIPT-Empowered D2D Mode Selection.

    3. 节能的SWIPT赋能D2D模式选择
    作者:
    Jun Huang, Jingjing Cui, Cong-Cong Xing, Hamid Gharavi
    日期:
    2018

    While mode selection has been envisioned as the most cost-effective way to address the interference issue in Device-to-Device (D2D) communications, existing works have been largely conducted without consideration of the energy depletion of devices. In this paper we investigate simultaneous wireless information and power transfer (SWIPT) empowered mode selection based on stochastic geometry. As a mean of solving it, system energy efficiency is formulated by determining the closed-form ergodic energy-harvested and ergodic capacity of D2D and cellular users in reuse, dedicated, and cellular communication modes with the time switching and power splitting architectures of SWIPT. We then leverage the derived results, along with the energy efficiency to design an energy-efficient mode selection mechanism. Our simulation results show that the developed mechanism is able to select the best mode for D2D communication with better energy efficiency, especially in an ultra-dense cellular network as compared with a state-of-the-art mode selection approach.

  4. JCR分区: Q1 CAS分区: B2 影响因子: 7.5

    4. Performance Analysis of Relay-based Two-way D2D Communications with Network Coding.

    4. 基于中继的双向D2D通信与网络编码的性能分析
    作者:
    Jun Huang, Hamid Gharavi
    日期:
    2018

    In this paper, we present an analytical approach to evaluate the performance of dual-hop, two-way, and asymmetric D2D communications with and without network coding. In our approach, we first establish a relationship between link outage probability (LOP) and packet loss probability (PLP), where PLP is defined as a function of LOP. By distinguishing between two types of probabilities, we then investigate the system throughput and end-to-end packet loss probability (E2EPLP). Our evaluation results reveal that when PLPs of all links along one-way D2D communications are greater or smaller than those of their corresponding links along the other direction, network coding can achieve higher throughput (about 25%), as well as an lower E2EPLP (approximately 10%). We believe that the proposed analytical approach can provide a useful insight into the application of network coding in relay-based D2D networks.

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指标接近的期刊