The Weibull–lognormal fading channel: analysis, simulation, and validation
dc.contributor.author | Karadimas, Petros | en_GB |
dc.contributor.author | Kotsopoulos, Stavros A. | en_GB |
dc.date.accessioned | 2013-03-13T13:03:20Z | |
dc.date.available | 2013-03-13T13:03:20Z | |
dc.date.issued | 2009 | |
dc.identifier.citation | Karadimas, P., Kotsopoulos, S.A., (2009) 'The Weibull–Lognormal Fading Channel: Analysis, Simulation, and Validation' IEEE Transactions on Vehicular Technology 58 (7):3808-3813 | en_GB |
dc.identifier.issn | 0018-9545 | |
dc.identifier.issn | 1939-9359 | |
dc.identifier.doi | 10.1109/TVT.2008.2002697 | |
dc.identifier.uri | http://hdl.handle.net/10547/272040 | |
dc.description.abstract | In frequency-nonselective fading channels, the partial waves arriving at the mobile receiver cannot explicitly be of homogeneous nature due to nonuniform scattering caused by objects of specific reflective nature. Moreover, shadowing influences the received signal level by causing slow variations to its local mean. In this paper, we investigate a mixture stochastic process accounting for both inhomogeneous scattering and shadow fading by multiplying a Weibull process with a lognormal process. The first process models the possible scattering nonuniformities of the channel, whereas the second process accounts for the slow-term variations of the local mean due to shadowing. An exact solution for the composite probability density function (pdf) will be given, together with approximate solutions for the second-order statistics, i.e., the level crossing rate (LCR) and the average duration of fades (ADF). The approximate solutions come from the assumption of a slowly time-varying lognormal process compared with the Weibull process, the validity of which will be tested via an efficient deterministic simulation scheme that implements the analytical model on a digital computer. Finally, a curve fitting of the LCR to real-world data drawn from channel measurements will demonstrate the flexibility and usefulness of the proposed model. | |
dc.language.iso | en | en |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | en_GB |
dc.relation.url | http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=4579736 | en_GB |
dc.subject | fading channels | en_GB |
dc.subject | nonuniform scattering | en_GB |
dc.subject | Suzuki process | en_GB |
dc.subject | Weibull fading | en_GB |
dc.subject | shadowing | en_GB |
dc.subject | fading channels | en_GB |
dc.title | The Weibull–lognormal fading channel: analysis, simulation, and validation | en |
dc.type | Article | en |
dc.contributor.department | University of Patras | en_GB |
dc.identifier.journal | IEEE Transactions on Vehicular Technology | en_GB |
html.description.abstract | In frequency-nonselective fading channels, the partial waves arriving at the mobile receiver cannot explicitly be of homogeneous nature due to nonuniform scattering caused by objects of specific reflective nature. Moreover, shadowing influences the received signal level by causing slow variations to its local mean. In this paper, we investigate a mixture stochastic process accounting for both inhomogeneous scattering and shadow fading by multiplying a Weibull process with a lognormal process. The first process models the possible scattering nonuniformities of the channel, whereas the second process accounts for the slow-term variations of the local mean due to shadowing. An exact solution for the composite probability density function (pdf) will be given, together with approximate solutions for the second-order statistics, i.e., the level crossing rate (LCR) and the average duration of fades (ADF). The approximate solutions come from the assumption of a slowly time-varying lognormal process compared with the Weibull process, the validity of which will be tested via an efficient deterministic simulation scheme that implements the analytical model on a digital computer. Finally, a curve fitting of the LCR to real-world data drawn from channel measurements will demonstrate the flexibility and usefulness of the proposed model. |
This item appears in the following Collection(s)
-
Centre for Wireless Research (CWR)
The Centre for Wireless Research brings together expertise in the areas of mobile and wireless sensor networks. The breadth and depth of the expertise make the Centre rich with research and innovation potential.