Analytical Investigation of Two Benchmark Resource Allocation Algorithms for LTE-V2V

Short-range wireless technologies will enable vehicles to communicate and coordinate their actions, thus improving people's safety and traffic efficiency. Whereas IEEE 802.11p (and related standards) had been the only practical solution for years, in 2016 a new option was introduced with Releas...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology Vol. 68; no. 6; pp. 5904 - 5916
Main Authors: Bazzi, Alessandro, Zanella, Alberto, Cecchini, Giammarco, Masini, Barbara M.
Format: Journal Article
Language:English
Published: New York IEEE 01.06.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Benchmark testing
Cams
cellular-V2V
Clustering algorithms
Connected vehicles
cooperative awareness
Design optimization
Long Term Evolution
LTE-V2V
Mathematical analysis
Mobile communication systems
Resource allocation
Resource management
Road transportation
Safety
Traffic safety
Wireless communications
ISSN:0018-9545, 1939-9359
Online Access:Get full text
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Summary:Short-range wireless technologies will enable vehicles to communicate and coordinate their actions, thus improving people's safety and traffic efficiency. Whereas IEEE 802.11p (and related standards) had been the only practical solution for years, in 2016 a new option was introduced with Release of 14 long-term evolution (LTE), which includes new features to enable direct vehicle-to-vehicle (V2V) communications. LTE-V2V promises a more efficient use of the channel compared to IEEE 802.11p, thanks to an improved PHY layer and the use of orthogonal resources at the MAC layer. In LTE-V2V, a key role is played by the resource allocation algorithm and increasing efforts are being made to design new solutions to optimize the spatial reuse. In this context, an important aspect still little studied, is therefore that of identifying references that allow, first, to have a perception of the space in which the resource allocation algorithms move and, second, to verify the performance of new proposals. In this paper, we focus on a highway scenario and identify two algorithms to be used as a minimum and maximum reference in terms of the packet reception probability (PRP). The PRP is derived as a function of various parameters that describe the scenario and settings, from the application to the physical layer. Results, obtained both in a simplified Poisson point process scenario and with realistic traffic traces, show that the PRP varies considerably with different algorithms and that there is room for the improvement of current solutions.
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2019.2909438