Study of throughput based on the impact of propagation effects and traffic patterns in wireless cellular networks

One of the important challenges in the wireless heterogeneous cellular network is to stochastically model a network for improving its performance, which can be analyzed in terms of throughput of the network. For increasing the throughput of a particular network,it is very important to characterize the noise and interference resulting from various sources in the network.In this work,a network model using Poisson point process (PPP) distribution for characterizing the throughput with respect to signal-to-interference-plus-noise ratio (SINR) is framed.This SINR ensures about successful reception of packets by the receiver only if the SINR value is more than a predefined threshold value,assuming interference from all possible transmitting devices in the network.Then, the mathematical expressions for link-level success probability and throughput for successful transmission between transmitter and receiver in the modeled network is derived.Thereafter, the throughput with respect to packet traffic patterns is characterized, which ensures the successful reception of packets only if the transmitted packet does not collide with other packets emitted by the nearby transmitters.Furthermore, a study of the impact of the wireless propagation characteristic (e.g., Path loss and Rayleigh fading) and packet traffic patterns (for example-slotted-synchronous and asynchronous) on the throughput of the wireless heterogeneous cellular network is done through this work