2.50
Hdl Handle:
http://hdl.handle.net/10547/336109
Title:
Generic stochastic modeling of vehicle-to-vehicle wireless channels
Authors:
Karadimas, Petros; Matolak, David
Abstract:
We present a generic statistical characterization of the vehicle-to-vehicle (V–V) wireless channel by adopting a stochastic modeling approach. Our approach is based on the doubly underspread (DU) property of non-wide sense stationary uncorrelated scattering (non-WSSUS) wireless channels, with V–V channels pertaining to this category. DU channels exhibit explicit frequency and time intervals over which they are approximated as WSSUS. We call these intervals restricted time interval (RTI) and restricted bandwidth (RBW), and variations taking place inside them are characterized as small scale variations. Large scale variations take place outside RTI and RBW. In this paper, we focus on small scale variations, thus, our modeling finds its applicability within RTI and RBW. As practical V–V channels exhibit rapid temporal fluctuations due to the inherent mobility of transmitter (Tx), receiver (Rx) and surrounding scatterers (e.g., other vehicles), we analyze the relevant second order statistics characterizing temporal variability, namely, the a) temporal correlation function (CF) (or autocorrelation function (ACF)), b) power spectral density (PSD) (or Doppler spectrum), c) level crossing rate (LCR) and d) average fade duration (AFD). Our analysis considers three-dimensional (3-D) scattering at the Tx and Rx together with random scatterers' mobility. Illustrative examples demonstrate the usefulness and flexibility of our analysis, which is further validated by fitting the theoretical LCR to an empirical, obtained at a US interstate highway. We show that significant Doppler frequencies can arise due to scatterers' mobility exceeding the respective maximum and minimum values when considering only Tx and Rx mobility. Also scatterers' mobility causes more rapid temporal variations when it becomes more intense. The latter is also true when 3-D scattering at the Tx and/or Rx spreads over a greater range of angular sectors and becomes less directional.
Affiliation:
University of Bedfordshire; University of South Carolina
Citation:
Karadimas, P., Matolak, D., (2014) "Generic stochastic modeling of vehicle-to-vehicle wireless channels" Vehicular Communications, 1 (4) pp. 153-167.
Publisher:
Elsevier
Journal:
Vehicular Communications
Issue Date:
Aug-2014
URI:
http://hdl.handle.net/10547/336109
DOI:
10.1016/j.vehcom.2014.08.001
Additional Links:
http://linkinghub.elsevier.com/retrieve/pii/S2214209614000400
Type:
Article
Language:
en
ISSN:
2214-2096
Appears in Collections:
Centre for Wireless Research (CWR)

Full metadata record

DC FieldValue Language
dc.contributor.authorKaradimas, Petrosen
dc.contributor.authorMatolak, Daviden
dc.date.accessioned2014-11-25T13:55:21Z-
dc.date.available2014-11-25T13:55:21Z-
dc.date.issued2014-08-
dc.identifier.citationKaradimas, P., Matolak, D., (2014) "Generic stochastic modeling of vehicle-to-vehicle wireless channels" Vehicular Communications, 1 (4) pp. 153-167.en
dc.identifier.issn2214-2096-
dc.identifier.doi10.1016/j.vehcom.2014.08.001-
dc.identifier.urihttp://hdl.handle.net/10547/336109-
dc.description.abstractWe present a generic statistical characterization of the vehicle-to-vehicle (V–V) wireless channel by adopting a stochastic modeling approach. Our approach is based on the doubly underspread (DU) property of non-wide sense stationary uncorrelated scattering (non-WSSUS) wireless channels, with V–V channels pertaining to this category. DU channels exhibit explicit frequency and time intervals over which they are approximated as WSSUS. We call these intervals restricted time interval (RTI) and restricted bandwidth (RBW), and variations taking place inside them are characterized as small scale variations. Large scale variations take place outside RTI and RBW. In this paper, we focus on small scale variations, thus, our modeling finds its applicability within RTI and RBW. As practical V–V channels exhibit rapid temporal fluctuations due to the inherent mobility of transmitter (Tx), receiver (Rx) and surrounding scatterers (e.g., other vehicles), we analyze the relevant second order statistics characterizing temporal variability, namely, the a) temporal correlation function (CF) (or autocorrelation function (ACF)), b) power spectral density (PSD) (or Doppler spectrum), c) level crossing rate (LCR) and d) average fade duration (AFD). Our analysis considers three-dimensional (3-D) scattering at the Tx and Rx together with random scatterers' mobility. Illustrative examples demonstrate the usefulness and flexibility of our analysis, which is further validated by fitting the theoretical LCR to an empirical, obtained at a US interstate highway. We show that significant Doppler frequencies can arise due to scatterers' mobility exceeding the respective maximum and minimum values when considering only Tx and Rx mobility. Also scatterers' mobility causes more rapid temporal variations when it becomes more intense. The latter is also true when 3-D scattering at the Tx and/or Rx spreads over a greater range of angular sectors and becomes less directional.en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S2214209614000400en
dc.rightsArchived with thanks to Vehicular Communicationsen
dc.subjectfading channelsen
dc.subjectstochastic channel modelingen
dc.subjectvehicle-to-vehicle (V–V) communicationsen
dc.subjectwide sense stationary uncorrelated scattering (WSSUS) channelsen
dc.titleGeneric stochastic modeling of vehicle-to-vehicle wireless channelsen
dc.typeArticleen
dc.contributor.departmentUniversity of Bedfordshireen
dc.contributor.departmentUniversity of South Carolinaen
dc.identifier.journalVehicular Communicationsen
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