Optimal Base Station Deployment with Downlink Rate Coverage Probability Constraint

The uncertainty in user locations and channel conditions makes the deployment and performance analysis of wireless networks challenging. Stochastic geometry has emerged as a powerful tool for analyzing the performance of wireless networks, assuming certain stochastic models for the distribution of both users and base stations (BSs). In this letter, seeking further precision, we derive the downlink rate coverage probability of a wireless network with
deterministically known BS locations
. Then, we use this result to optimize the placement of BSs while keeping the downlink rate coverage probability above a certain threshold.