Home CV Publications Research Research Group Teaching Software Activities Links Mathematica and Matlab Software for Computing Distance Distributions During the course of my research, I have written a number of software libraries in collaboration with my students. One of them is now available publicly here and others will be made available in the future. If you use the software in your research, please reference our relevant publication (see details below). If you have any suggestions for improving the software, please email me and we can incorporate this in the software. Computing exact closed-form distance distributions in K-tier heterogeneous networks with arbitrary reference point [Released: TBA] In K-tier heterogeneous networks, the coverage regions are modelled using a multiplicatively weighted Voronoi diagram. This software computes: (i) the exact closed-form probability density function and (ii) the exact closed-form cumulative density function of the distance between a randomly located node and any arbitrary reference point inside or outside an arbitrarily shaped multiplicatively weighted Voronoi cell. Matlab Code: Developed and tested [Nov. 2014]. Our paper is currently under preparation. Also we are working on a Mathematica notebook for this paper, which can calculate closed-form results. Screen shot: Computing exact closed-form distance distributions in arbitrary (convex or concave) polygon regions with arbitrary reference point [Released: June 2015] This software computes: (i) the exact closed-form probability density function and (ii) the exact closed-form cumulative density function of the distance between a randomly located node and any arbitrary reference point inside or outside an arbitrary (concave or convex) polygon. Mathematica Notebook Screen shot: Computing exact closed-form distance distributions in arbitrary convex polygon regions with interior reference point This software computes: (i) the exact closed-form probability density function and (ii) the exact closed-form cumulative density function of the distance between a randomly located node and any arbitrary reference point inside an arbitrary L-sided convex polygon. Our relevant IEEE TCOM paper (see Appendix A) Mathematica Notebook: This will no longer be posted. See our Mathematica Notebook, which can handle both concave and convex polygons. Computing exact closed-form distance distributions in regular polygon regions with interior reference point [Released: May 2013] This software computes: (i) the exact closed-form probability density function and (ii) the exact closed-form cumulative density function of the distance between a randomly located node and any arbitrary reference point inside a regular L-sided polygon. These results can be used to obtain the closed-form probability density function of the Euclidean distance between any arbitrary reference point and its nth neighbor node when N nodes are uniformly and independently distributed (i.e. according to a uniform Binomial Point Process) inside a regular L-sided polygon. These distance distributions have many applications in wireless networks. This code is available in both Mathematica and Matlab.