2013
DOI: 10.1109/tits.2013.2264356
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A MAC Protocol Using Road Traffic Estimation for Infrastructure-to-Vehicle Communications on Highways

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Cited by 7 publications
(4 citation statements)
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References 22 publications
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“…Assuming that there are M narrowband signals arrived at the receiver.The DOAs , respectively ,were 1 θ , 2 θ ,…, M θ . The input for the estmation algorithm is: , the matrix T will be no longer diagonal matrix.If T is not diagonal matrix, y R will not be full rank matrix.…”
Section: Correlation Analysis Of the Received Signalmentioning
confidence: 99%
See 1 more Smart Citation
“…Assuming that there are M narrowband signals arrived at the receiver.The DOAs , respectively ,were 1 θ , 2 θ ,…, M θ . The input for the estmation algorithm is: , the matrix T will be no longer diagonal matrix.If T is not diagonal matrix, y R will not be full rank matrix.…”
Section: Correlation Analysis Of the Received Signalmentioning
confidence: 99%
“…Since the concept of intelligent transportation systems (ITS) is put forward, research for Internet of Vehicles (IOV) [1][2] has become more widely. As a key research area of ITS, IOV system can not only realize Vehicles-to-vehicles(VTV) and road-to-vehicles(RTV) communciation,but also have the ability of radar sensing.…”
Section: Introductionmentioning
confidence: 99%
“…In [23], the impact of vehicular mobility on IEEE 802.11 p infrastructureless vehicular networks is investigated. In [24], the impact of road traffic on the throughput performance of Drive-thru Internet is discussed, and a MAC protocol to control the transmission probability of vehicles for maximizing system throughput is proposed. In [25], the uplink MAC performance of Drive-thru Internet is evaluated.…”
Section: Vehicular Access Controlmentioning
confidence: 99%
“…Proof. Using the Little's law, we can get that the mean vehicle arrival rate can be formulated as 24 3 Spatial Coordinated Medium Sharing in the Drive-thru Internet Combining the expression D N ı L and Eq. (3.1), we can get…”
Section: Macroscopic Vehicular Mobilitymentioning
confidence: 99%