Stochastic Geometry Modeling of Cellular Networks with Renewable Energy Sources

par Xiaojun Xi

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) , Télécoms et Réseaux (equipe de recherche) et de Université Paris-Sud (établissement de préparation de la thèse) depuis le 01-04-2016 .


  • Résumé

    Cellular networks based on the concept of small cells powered by renewable energy sources and mobile terminals equipped with information and energy harvesting capabilities offer the potential of realizing a new paradigm, where each mobile terminal may, in principle, have “its own personal” cell that may “follow” and “be available” to it anytime and anywhere. The users may be connected to different access points for uplink and downlink transmission. This cell-less operational design is totally different from current cellular networks, where each base station serves many users simultaneously and where the serving access point is chosen only based on downlink transmission and kept the same for all communications. A new re-design is mandatory. We will develop new mathematical frameworks for the analysis and design of cellular networks with renewable sources and energy harvesting capabilities, for both microwave and millimeter wave frequencies. We will identify and prioritize the potential association criteria from both user (QoS requirements, fairness, energy availability etc.) and network (energy efficiency, traffic balancing, interference mitigation, etc.) perspectives. Then, novel association strategies between mobile users and access points will be proposed, balancing user requirements, energy availability, and network resources and decoupling uplink from downlink. For instance, under this new paradigm, a mobile user may select the access point offering the best received power for the uplink, while connecting to a less congested or with higher residual power access point for the downlink.

  • Titre traduit

    Stochastic Geometry Modeling of Cellular Networks with Renewable Energy Sources


  • Résumé

    Cellular networks based on the concept of small cells powered by renewable energy sources and mobile terminals equipped with information and energy harvesting capabilities offer the potential of realizing a new paradigm, where each mobile terminal may, in principle, have “its own personal” cell that may “follow” and “be available” to it anytime and anywhere. The users may be connected to different access points for uplink and downlink transmission. This cell-less operational design is totally different from current cellular networks, where each base station serves many users simultaneously and where the serving access point is chosen only based on downlink transmission and kept the same for all communications. A new re-design is mandatory. We will develop new mathematical frameworks for the analysis and design of cellular networks with renewable sources and energy harvesting capabilities, for both microwave and millimeter wave frequencies. We will identify and prioritize the potential association criteria from both user (QoS requirements, fairness, energy availability etc.) and network (energy efficiency, traffic balancing, interference mitigation, etc.) perspectives. Then, novel association strategies between mobile users and access points will be proposed, balancing user requirements, energy availability, and network resources and decoupling uplink from downlink. For instance, under this new paradigm, a mobile user may select the access point offering the best received power for the uplink, while connecting to a less congested or with higher residual power access point for the downlink.