dc.contributor.author | Borhani, Alireza | |
dc.contributor.author | Stüber, Gordon L. | |
dc.contributor.author | Pätzold, Matthias Uwe | |
dc.date.accessioned | 2018-04-05T12:38:49Z | |
dc.date.available | 2018-04-05T12:38:49Z | |
dc.date.created | 2016-08-26T17:12:45Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | IEEE Transactions on Vehicular Technology. 2017, 66 (1), 2-14. | nb_NO |
dc.identifier.issn | 0018-9545 | |
dc.identifier.uri | http://hdl.handle.net/11250/2492877 | |
dc.description.abstract | This paper introduces a new approach to developing stochastic nonstationary channel models, the randomness of which originates from a random trajectory of the mobile station (MS) rather than from the scattering area. The new approach is employed by utilizing a random trajectory model based on the primitives of Brownian fields (BFs), whereas the position of scatterers can be generated from an arbitrarily 2-D distribution function. The employed trajectory model generates random paths along which the MS travels from a given starting point to a fixed predefined destination point. To capture the path loss, the gain of each multipath component is modeled by a negative power law applied to the traveling distance of the corresponding plane wave, whereas the randomness of the path traveled results in large-scale fading. It is shown that the local received power is well approximated by a Gaussian process in logarithmic scale, even for a very limited number of scatterers. It is also shown that the envelope of the complex channel gain follows closely a Suzuki process, indicating that the proposed channel model superimposes small-scale fading and large-scale fading. The local power delay profile (PDP) and the local Doppler power spectral density (PSD) of the channel model are also derived and analyzed. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | IEEE | nb_NO |
dc.title | A Random Trajectory Approach for the Development of Nonstationary Channel Models Capturing Different Scales of Fading | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.pagenumber | 2-14 | nb_NO |
dc.source.volume | 66 | nb_NO |
dc.source.journal | IEEE Transactions on Vehicular Technology | nb_NO |
dc.source.issue | 1 | nb_NO |
dc.identifier.doi | 10.1109/TVT.2016.2548563 | |
dc.identifier.cristin | 1375880 | |
dc.relation.project | Norges forskningsråd: 261895 | nb_NO |
dc.description.localcode | nivå2 | nb_NO |
cristin.unitcode | 201,15,4,0 | |
cristin.unitname | Institutt for informasjons- og kommunikasjonsteknologi | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 2 | |