Mobile Vehicle-to-Vehicle Narrow-Band Channel Measurement and Characterization of the 5.9 GHz Dedicated Short Range Communication (DSRC) Frequency Band

By Lin Cheng, B. Henty, Daniel D. Stancil, Fan Bai, Priyantha Mudalige. IEEE Journal on Selected Areas in Communications, 2007

737 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/74c9ddb5e5f5d562e6f5372bedf49a4cc7a56e32

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In Electrical and Electronic Engineering

Citations in the corpus

Path Loss Modeling for Vehicle-to-Vehicle Communications (2011, background): “The measurements of Cheng et al. [ 3 ], [5] suggest that a breakpoint model is suitable to describe the path loss.”
A survey on vehicle-to-vehicle propagation channels (2009, background): “In the United States houses are often set back 8–10 m from the curb [4], whereas in Europe and Japan houses can be much closer to it.”
Evolutionary V2X Technologies Toward the Internet of Vehicles: Challenges and Opportunities (2020, methodology): “, urban area, highway, or rural areas, the big data trace is utilized for correcting parameters of channel model applied in analysis, such as Doppler effect and shadowing model [44], [47].”
Toward understanding characteristics of dedicated short range communications (DSRC) from a perspective of vehicular network engineers (2010, background): “There is a rich set of literatures on using scientiﬁc channel sounding equipments to characterize basic physical layer properties of V2V wireless channels, such as delay spread proﬁles, Doppler spectrum, coherent time, and coherent band-width [1] [6].”
How Can Edge Computing Benefit From Software-Defined Networking: A Survey, Use Cases, and Future Directions (2017, background): “Relaying the messages between vehicles over LTE eliminate the necessity of building a Dedicated Short Range Communication (DSRC) [125] network that allows vehicle-tovehicle communication for short distances.”
A Survey of 5G Channel Measurements and Models (2018, background): “formed in various scenarios, such as open highway [27], suburban [28], campus [29], crossroad [30], etc.”
Internet of vehicles in big data era (2018, methodology): “A Speed-separation diagram is introduced in [93] to”
Joint Communication and Control for Wireless Autonomous Vehicular Platoon Systems (2018, methodology): “Also, in general, Nakagami channel models can describe a wide range of fading environment of vehicular networks [28].”
On the Performance of IEEE 802.11p and LTE-V2V for the Cooperative Awareness of Connected Vehicles (2017, background): “75 (as in [46]), noise power in the 10 MHz bandwidth Pn = −95 dBm (inferred from [13]), beacon size Bb = 200 bytes (as often assumed, e.”
Impact of Vehicles as Obstacles in Vehicular Ad Hoc Networks (2011, background): “Cheng et al. in [22] performed measurements of the V2V channel in the 5.9 GHz frequency band and pointed out that vehicles as obstacles are the most probable cause for the difference in received signal power between the obtained experimental measurements and the dual slope piecewise linear channel…”
Connected Vehicles: Solutions and Challenges (2014, background): “There have been extensive research efforts from academia to characterize communication properties of DSRC [55], [61]– [65], and to enhance DSRC performance both in the PHY layer and MAC layer [66]–[69].”
Adaptive intervehicle communication control for cooperative safety systems (2010, background): “While V2I communication requires huge infrastructure investment, V2V communication is a more viable solution for the near future.”