Geometrical-based statistical macrocell channel model for mobile environments

Abstract

In this paper, we develop a statistical geometric propagation model for a macrocell mobile environment that provides the statistics of angle-of-arrival (AOA) of the multipath components, which are required to test adaptive array algorithms for cellular applications. This channel model assumes that each multipath component of the propagating signal undergoes only one bounce traveling from the transmitter to the receiver and that scattering objects are located uniformly within a circle around the mobile. This geometrically based single bounce macrocell (GBSBM) channel model provides three important parameters that characterize a channel: the power of the multipath components, the time-of-arrival (TOA) of the components, and the AOA of the components. Using the GBSBM model, we analyze the effect of directional antennas at the base station on the fading envelopes. The level crossing rate of the fading envelope is reduced and the envelope correlation increases significantly if a directional antenna is employed at the base station.

Empirical Models of the Azimuthal Reception Angle—Part I: Comparative Analysis of Empirical Models for Different Propagation Environments

“…For particular models, the criteria and the evaluation of approximation errors are presented in Sect. 4. As a result of a comparative analysis, the empirical models, which accurately map the measurement data for the analyzed scenarios, are indicated in Sect.…”

“…The first group of models is defined by geometrical structures that describe the spatial location of the scattering areas in 2D or 3D. The most commonly used geometrical structures are: circle [1][2][3][4], ellipse [3,[5][6][7], ring [8], hemisphere [9], cutting hemisphere [10], and cylinder [11][12][13]. Distribution of scatterers in propagation environment is an additional characteristic that defines each geometrical model.…”

“…Distribution of scatterers in propagation environment is an additional characteristic that defines each geometrical model. For these models, the following distributions are used: uniform [2,4,5,8,14], Gaussian [15,16], Raleigh and exponential [2], hyperbolic [1], conical [17], parabolic [3,18], and inverted parabolic [19]. The choice of the geometrical structure (shape, position, size) and scattering distribution determines the accuracy of the mapping of the actual propagation conditions.…”

A Novel Statistical AOA Model Pertinent to Indoor Geolocation

“…Some previous works in AOA modeling include the Geometrically Based Statistical Channel Models (GBSCMs) [1] and measurement fitted statistical models [2]. However, most of these studies are aimed at telecommunications applications.…”

Correlation Effects on the Mimo Capacity for Conformal Antennas on a Paraboloid

“…The distribution type is generally different in the case of a mobile terminal compared to a base station antenna. Several correlation models are used such as Clarke's model [21] for the terminal and the model known as Geometrically Based Simple Bounce (GBSB) [22] in the case of a base station. However, these models fail to account for the angular distributions of the antenna pattern because of the underlying assumption of 2D omnidirectional patterns.…”