Spatial Spectrum and Energy Efficiency of Random Cellular Networks

TL;DR

This paper develops new models for spatial spectrum and energy efficiency in Poisson-Voronoi tessellation random cellular networks, incorporating user access, outage, and blocking probabilities, with numerical validation.

Contribution

It introduces novel spatial spectrum and energy efficiency models for PVT random cellular networks, including a Markov chain based access model and performance analysis.

Findings

Derived outage and blocking probabilities numerically

Proposed models incorporate call rate, path loss, and BS density

Numerical simulations evaluate spectrum and energy efficiency

Abstract

It is a great challenge to evaluate the network performance of cellular mobile communication systems. In this paper, we propose new spatial spectrum and energy efficiency models for Poisson-Voronoi tessellation (PVT) random cellular networks. To evaluate the user access the network, a Markov chain based wireless channel access model is first proposed for PVT random cellular networks. On that basis, the outage probability and blocking probability of PVT random cellular networks are derived, which can be computed numerically. Furthermore, taking into account the call arrival rate, the path loss exponent and the base station (BS) density in random cellular networks, spatial spectrum and energy efficiency models are proposed and analyzed for PVT random cellular networks. Numerical simulations are conducted to evaluate the network spectrum and energy efficiency in PVT random cellular networks.