Intelligent Vehicle Network Routing With Adaptive 3D Beam Alignment for mmWave 5G-Based V2X Communications

5G-based millimeter Waves (mmWave) systems have the prospective of enabling <inline-formula> <tex-math notation="LaTeX">>1Gbps </tex-math></inline-formula> communications in the Intelligent Transportation Systems (ITS). ITS relies on vehicle-to-everything (V2X) c...

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Vydané v:IEEE transactions on intelligent transportation systems Ročník 22; číslo 5; s. 2706 - 2718
Hlavní autori: Rasheed, Iftikhar, Hu, Fei, Hong, Yang-Ki, Balasubramanian, Bharat
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.05.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
5G millimeterWave (mmWave)
5G mobile communication
Algorithms
Alignment
Array signal processing
Authentication
beamforming
Curves
Data transmission
Dynamic stability
Huffman codes
Intelligent transportation systems
Intelligent vehicles
Interference
ITS
Millimeter waves
Misalignment
Route planning
Routing
security
Signal to noise ratio
vehicle to everything communications (V2X)
Vehicles
ISSN:1524-9050, 1558-0016
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Popis
Shrnutí:5G-based millimeter Waves (mmWave) systems have the prospective of enabling <inline-formula> <tex-math notation="LaTeX">>1Gbps </tex-math></inline-formula> communications in the Intelligent Transportation Systems (ITS). ITS relies on vehicle-to-everything (V2X) communications to share information among vehicles. However, the V2X Communications via existing technologies such as DSRC, 3G, 4G and LTE, are not able to achieve such a high data rate. Although 5G-based mmWave can support ultra-low-delay V2X transmissions, it comes with beam alignment difficulties as well as the routing stability issues due to rapid mobility of vehicles. The dynamic vehicle traffic causes frequent beam misalignment which tends to degrade the quality-of-service (QoS) performance. In this paper, we first propose a 3D-based position detection scheme for beam alignment/selection purpose. Then a group-based routing algorithm is performed to select a secure path for achieving trustworthy data transmissions. The road traffic is automatically segmented to divide the vehicles into different groups, and each group head is selected and members are added. Group members are authenticated by the group head via elliptic curve algorithms. Huffman coding is performed to compress the data and encrypt the binary files. This proposed novel intelligent beam control and secure stable routing scheme have been verified in simulations to demonstrate much better performance than existing schemes.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2020.2973859