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Jianping Pan

Publications and source records attributed to Jianping Pan.

39 records · Page 3Linked to original sources

Random Distances Associated with Trapezoids

The distributions of the random distances associated with hexagons, rhombuses and triangles have been derived and verified in the existing work. All of these geometric shapes are related to each other and have various applications in wireless communications, transportation, etc. Hexagons are widely used to model the cells in cellular networks, while trapezoids can be utilized to model the edge users in a cellular network with a hexagonal tessellation. In this report, the distributions of the random distances associated with unit trapezoids are derived, when two random points are within a unit trapezoid or in two neighbor unit trapezoids. The mathematical expressions are verified through simulation. Further, we present the polynomial fit for the PDFs, which can be used to simplify the computation.

math.GM↗

Random Distances Associated With Equilateral Triangles

In this report, the explicit probability density functions of the random Euclidean distances associated with equilateral triangles are given, when the two endpoints of a link are randomly distributed in 1) the same triangle, 2) two adjacent triangles sharing a side, 3) two parallel triangles sharing a vertex, and 4) two diagonal triangles sharing a vertex, respectively. The density function for 1) is based on the most recent work by Basel [1]. 2)-4) are based on 1) and our previous work in [2], [3]. Simulation results show the accuracy of the obtained closed-form distance distribution functions, which are important in the theory of geometrical probability. The first two statistical moments of the random distances and the polynomial fits of the density functions are also given in this report for practical uses.

math.GM↗

Random Distances Associated with Rhombuses

Parallelograms are one of the basic building blocks in two-dimensional tiling. They have important applications in a wide variety of science and engineering fields, such as wireless communication networks, urban transportation, operations research, etc. Different from rectangles and squares, the coordinates of a random point in parallelograms are no longer independent. As a case study of parallelograms, the explicit probability density functions of the random Euclidean distances associated with rhombuses are given in this report, when both endpoints are randomly distributed in 1) the same rhombus, 2) two parallel rhombuses sharing a side, and 3) two rhombuses having a common diagonal, respectively. The accuracy of the distance distribution functions is verified by simulation, and the correctness is validated by a recursion and a probabilistic sum. The first two statistical moments of the random distances, and the polynomial fit of the density functions are also given in this report for practical uses.

math.GM↗