Revisiting Circular-Based Random Node Simulation

TL;DR

This paper introduces a universal exact scattering model for random node distribution in cellular networks, along with a closed-form path-loss predictor and an algorithm to enhance emulation flexibility and heterogeneity.

Contribution

It develops a versatile, exact scattering model and a path-loss predictor, improving upon existing methods for simulating node distributions in cellular environments.

Findings

Derived a universal exact scattering model

Proposed a closed-form path-loss predictor

Developed an algorithm for flexible, heterogeneous node emulation

Abstract

In literature, a stochastic model for spreading nodes in a cellular cell is available. Despite its existence, the current method does not offer any versatility in dealing with sectored layers. Of course, this needed adaptability could be created synthetically through heuristic means. However, due to selective sampling, such practice dissolves the true randomness sought. Hence, in this paper, a universal exact scattering model is derived. Also, as an alternative to exhaustive simulation, a generic close-form path-loss predictor between a node and a BS is obtained. Further, using these results, an algorithm based on the superposition principle is proposed. This will ensure greater emulation flexibility, and attain a heterogeneous spatial density.