Dynamic capacity planning of wireless networks using user mobility behavior in smart cities

Abstract

Smart cities are envisioned as the organic integration of systems to provide valuable information for its citizens and service providers. One such example is user mobility behavior information (use of user location data) related to wireless network consumption and demands. In this paper, we propose the use of this data in a novel manner for capacity planning purposes in wireless networks. We approach fifth generation (5G) capacity planning by considering Cloud Radio Access Networks and Software Defined Mobile Networks to improve dynamic resource allocation. Privacy concerns are also addressed.