Modeling and performance evaluation of spatially-correlated multi-tier heterogeneous cellular networks

par Shanshan Wang

Projet de thèse en Réseaux, information et communications

Sous la direction de Marco Di renzo.

Thèses en préparation à Paris Saclay , dans le cadre de Sciences et Technologies de l'Information et de la Communication , en partenariat avec L2S - Laboratoire des signaux et systèmes (laboratoire) et de Université Paris-Sud (établissement de préparation de la thèse) depuis le 01-10-2015 .


  • Résumé

    Title: Modeling and performance evaluation of spatially-correlated multi-tier heterogeneous cellular networks State of the art: A promising network topology is to overlay ultra-densely deployed and low-power heterogeneous elements (femto/pico base stations, distributed antennas, relays, etc) on top of the existing infrastructure of power-hungry and expensive macro base stations. This topology is beneficial since data traffic can be offloaded from macrocells to nearby low-power elements, reducing transmission distances and hence increasing spectral efficiency and energy efficiency of orders of magnitude. Such a network topology, however, cannot be designed using the methods of the past, i.e., relying on simulations, as they are not scalable due to the large number of diverse elements, which make them computationally unaffordable and insight-less. The only viable solution is mathematical modeling based on reasonable abstractions. However, state-of-art abstractions neglect fundamental aspects making such endeavors questionable. Objectives and innovation: 1) To introduce a more realistic modeling for the spatial structures (locations) of multi-tier base stations aiming at modeling attractions, repulsions and realistic distant-dependent path-loss models and 2) based on this modeling, to develop new mathematical frameworks for performance, spectral and energy efficiency analysis of ultra-dense multi-tier heterogeneous cellular networks. Expected results: 1) Acquiring new knowledge on spatial modeling and processes and 2) understanding the impact of spatial modeling and distance-dependent propagation modeling on the performance of ultra-dense multi-tier cellular networks.

  • Titre traduit

    Modeling and performance evaluation of spatially-correlated multi-tier heterogeneous cellular networks


  • Résumé

    Title: Modeling and performance evaluation of spatially-correlated multi-tier heterogeneous cellular networks State of the art: A promising network topology is to overlay ultra-densely deployed and low-power heterogeneous elements (femto/pico base stations, distributed antennas, relays, etc) on top of the existing infrastructure of power-hungry and expensive macro base stations. This topology is beneficial since data traffic can be offloaded from macrocells to nearby low-power elements, reducing transmission distances and hence increasing spectral efficiency and energy efficiency of orders of magnitude. Such a network topology, however, cannot be designed using the methods of the past, i.e., relying on simulations, as they are not scalable due to the large number of diverse elements, which make them computationally unaffordable and insight-less. The only viable solution is mathematical modeling based on reasonable abstractions. However, state-of-art abstractions neglect fundamental aspects making such endeavors questionable. Objectives and innovation: 1) To introduce a more realistic modeling for the spatial structures (locations) of multi-tier base stations aiming at modeling attractions, repulsions and realistic distant-dependent path-loss models and 2) based on this modeling, to develop new mathematical frameworks for performance, spectral and energy efficiency analysis of ultra-dense multi-tier heterogeneous cellular networks. Expected results: 1) Acquiring new knowledge on spatial modeling and processes and 2) understanding the impact of spatial modeling and distance-dependent propagation modeling on the performance of ultra-dense multi-tier cellular networks.