ATTENTION/WARNING - NE PAS DÉPOSER ICI/DO NOT SUBMIT HERE

Ceci est la version de TEST de DIAL.mem. Veuillez ne pas soumettre votre mémoire sur ce site mais bien à l'URL suivante: 'https://thesis.dial.uclouvain.be'.
This is the TEST version of DIAL.mem. Please use the following URL to submit your master thesis: 'https://thesis.dial.uclouvain.be'.
 

Stochastic geometry based optimization of coverage and exposure in wireless networks

Pirard, Julien
(2021)

Files

Pirard_38281600_2021.pdf
  • Open access
  • Adobe PDF
  • 2.16 MB
Download

Details

Supervisors
Vandendorpe, Luc ; Oestges, Claude
Faculty
Ecole polytechnique de Louvain
Degree label
Master [120] : ingénieur civil électricien, à finalité spécialisée
Abstract
This master's thesis aims to introduce a joint analysis of coverage and exposure of sub-6[GHz] downlink transmissions in Heterogeneous Networks (HetNets) using stochastic geometry. This analysis focuses on a joint optimization of coverage and exposure in HetNets. The objective of this optimization is to provide some explanations about how a HetNet should be deployed in order to ensure a given Quality-of-Service and limit the exposure. For this purpose, a performance metric evaluating coverage and exposure, defined as a joint probability, in a HetNet is developed. Based on this metric, two constrained optimization problems on the tier densities and transmission powers are introduced and solved analytically: a general network deployment and a network expansion. Solving these optimizations demonstrates the relation between the network characteristics and its performances, and illustrates the impact of the path-loss on the optimal deployment strategy.