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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Vydáno v:	IEEE transactions on vehicular technology Ročník 68; číslo 6; s. 5904 - 5916
Hlavní autoři:	Bazzi, Alessandro, Zanella, Alberto, Cecchini, Giammarco, Masini, Barbara M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.06.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
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Abstract	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.
AbstractList	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.
Author	Zanella, Alberto Masini, Barbara M. Cecchini, Giammarco Bazzi, Alessandro
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SubjectTerms	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
Title	Analytical Investigation of Two Benchmark Resource Allocation Algorithms for LTE-V2V
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