McGeehan, JP

Piechocki, RJ

Tsoulos, G

English

In order to evaluate the performance of third-generation mobile communication systems, radio channel models are required. The models should be capable of handling nonstationary scenarios with dynamic evolution of multipath. In this context and due to the introduction of advanced antenna systems to exploit the spatial domain, a further expansion is needed in order to include the nonstationary characteristics of the channel. In an attempt to solve these problems, this paper presents a new stochastic spatio-temporal propagation model. The model is a combination of the geometrically-based single reflection and the Gaussian wide-sense stationary uncorrelated scattering models, and is further enhanced in order to be able to handle nonstationary scenarios. The probability density functions of the number of multipath components, the scatterers' lifetime, and the angle of arrival are calculated to support these features. The input parameters of the model are based on results from measurement campaigns published in the open literature

Explore Bristol Research

[17] P.A.Bello,“Characterizationofrandomlytimevariantlinearchannels,”

A 3-D integrated macro and microcellular propagation model, based on the use of photogrammetric terrain and building data,” in

A flexibly configurable statistical channel model for mobile radio systems with directional diversity,” in

A geometrically based model for line-ofsight multipath radio channels,” in

A physical mobile radio channel model,”

A power spectral theory of propagation in the mobile radio environment,”

Angular dispersive mobile radio environments sensed by highly directive base station antennas,” in

Effects on correlation between two mobile radio basestationantennas,”IEEETrans.Commun.,vol.COM-11,pp.1214–1224,

Geometrically based statistical model for mobile communications,”

McGeehan received the B.Eng. and Ph.D. degreesinelectricalandelectronicengineeringfromthe UniversityofLiverpool,Liverpool,U.K.,in1967and

McGeehan,“A raytracingalgorithm for microcellular wideband propagationmodeling,” in

McGeehan,“Simple generalformula for PDF of angle of arrival in large cell operational environment,”

Physical modeling of macro, micro and inhouse mobile radio channel model,” in

Piechocki (S’98) received the M.Sc. degree(withfirst-classhonors)inelectricalengineering from the Technical University of Wroclaw, Wroclaw,

Probability, Random Processes, and Estimation Theory for Engineers. Englewoods Cliffs,

Review of Ray Modeling Techniques for Site Specific Propagation Prediction,” in Wireless Communications, TDMA versusCDMA,S.GlisicandP.Leppanene,Eds.

Tsoulos(M’94)received the Ph.D.degree from the University of Bristol,

Unified channel model for mobile radio systems with smart antennas,” in

While at the Centre for Communications Research of the University of Bristol, he was actively involved in all three pioneering European collaborative research projects on adaptive antennas (RACE TSUNAMI I, ACTS TSUNAMI II, and SUNBEAM). In

A new stochastic spatio-temporal propagation model (SSTPM) for mobile communications with antenna arrays

https://research-information.bris.ac.uk/files/2991661/piechocki_IEEE_TransComms_May2001.pdf

A new stochastic spatio-temporal propagation model (SSTPM) for mobile communications with antenna arrays

Abstract

Similar works

Full text

Available Versions

Explore Bristol Research