A survey on modeling and coverage analysis of heterogeneous network

Abstract

The next generation networks have undergone thriving advances under the modification of existing cellular networks in order to support high data rates with optimal coverage. This survey is intended as an accessible in giving a keynote to how to model and analyze coverage using stochastic geometry in a heterogeneous cellular network. In order to study the coverage performance in downlink Heterogeneous network (HetNet), Poisson distribution of Base stations is made an assumption. In the first part of this paper, a review of the probabilistic model for deploying of cellular base stations is discussed. In the second part, downlink coverage probability analysis is made for several cell association schemes such as Maximum Signal to Interference plus Noise Ratio (SINR), a nearest base station (BS) association (NBA) and maximum received Power association (MRPA). In connection with the scenario, a toy example is given to deploy hetnet through various Poisson processes. The probabilistic analysis of estimating SINR values provides the network performance characteristics (Randomness, Tractability and accuracy) as functions of parameters. A clear understanding of this modeling approach by identifying a clear classification is presented. Furthermore, the strength and weakness of the given models and comparison of quality parameters are outlined.