Vehicular Communications Survey and Challenges of Channel and Propagation Models

被引:196
作者
Viriyasitavat, Wantanee [1 ,2 ]
Boban, Mate
Tsai, Hsin-Mu [3 ,4 ]
Vasilakos, Athanasios V.
机构
[1] Mahidol Univ, Fac Informat & Commun Technol, Bangkok 10700, Thailand
[2] Carnegie Mellon Univ, Dept Elect & Comp Engn, Pittsburgh, PA 15213 USA
[3] Natl Taiwan Univ, Dept Comp Sci & Informat Engn, Taipei, Taiwan
[4] Natl Taiwan Univ, Grad Inst Networking & Multimedia, Taipei, Taiwan
来源
IEEE VEHICULAR TECHNOLOGY MAGAZINE | 2015年 / 10卷 / 02期
关键词
VEHICLE; MOBILE;
D O I
10.1109/MVT.2015.2410341
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Vehicular communication is characterized by a dynamic environment, high mobility, and comparatively low antenna heights on the communicating entities (vehicles and roadside units). These characteristics make vehicular propagation and channel modeling particularly challenging. In this article, we classify and describe the most relevant vehicular propagation and channel models, with a particular focus on the usability of the models for the evaluation of protocols and applications. We first classify the models based on the propagation mechanisms they employ and their implementation approach. We also classify the models based on the channel properties they implement and pay special attention to the usability of the models, including the complexity of implementation, scalability, and the input requirements (e.g., geographical data input). We also discuss the less-explored aspects in vehicular channel modeling, including modeling specific environments (e.g., tunnels, overpasses, and parking lots) and types of communicating vehicles (e.g., scooters and public transportation vehicles). We conclude by identifying the underresearched aspects of vehicular propagation and channel modeling that require further modeling and measurement studies. © 2005-2012 IEEE.
引用
收藏
页码:55 / 66
页数:12
相关论文
共 36 条
[1]   Six Time- and Frequency-Selective Empirical Channel Models for Vehicular Wireless LANs [J].
Acosta-Marum, Guillermo ;
Ingram, Mary Ann .
IEEE VEHICULAR TECHNOLOGY MAGAZINE, 2007, 2 (04) :4-11
[2]  
[Anonymous], P 8 EUR C ANT PROP
[3]  
[Anonymous], P IEEE WIR COMM NETW
[4]  
[Anonymous], CORR
[5]  
[Anonymous], 2013, COST IC
[6]  
[Anonymous], ARXIV12033370V2
[7]   Geometry-Based Vehicle-to-Vehicle Channel Modeling for Large-Scale Simulation [J].
Boban, Mate ;
Barros, Joao ;
Tonguz, Ozan K. .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2014, 63 (09) :4146-4164
[8]   TVR-Tall Vehicle Relaying in Vehicular Networks [J].
Boban, Mate ;
Meireles, Rui ;
Barros, Joao ;
Steenkiste, Peter ;
Tonguz, Ozan K. .
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2014, 13 (05) :1118-1131
[9]   Impact of Vehicles as Obstacles in Vehicular Ad Hoc Networks [J].
Boban, Mate ;
Vinhoza, Tiago T. V. ;
Ferreira, Michel ;
Barros, Joao ;
Tonguz, Ozan K. .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2011, 29 (01) :15-28
[10]   Mobile vehicle-to-vehicle narrow-band channel, measurement and characterization of the 5.9 GHz dedicated short range communication (DSRC) frequency band [J].
Cheng, Lin ;
Henty, Benjamin E. ;
Stancil, Daniel D. ;
Bai, Fan ;
Mudalige, Priyantha .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2007, 25 (08) :1501-1516