Systems and methods for application aware slicing in 5g layer 2 and layer 1 using fine grain scheduling

Abstract

Advances in wireless technologies have resulted in the ability of a 5G communication system to support multiple wireless communication applications. Each of these applications requires special handling in all layers and more so in scheduler and physical layer. The present disclosure presents embodiments of dynamical creating a computation instance with a slice of resources allocated for each scheduling input. Each computation instance may be independently managed, controlled, and customized according to the specific requirements of the corresponding scheduling input. Such a dynamic resource allocation allows large number of slices in PHY layer. Furthermore, when overloading happens, one scheduling inputs may be migrated from one distribution unit (DU) to another DU without interruption for end users during scheduling migration. Accordingly, efficiency and robustness of a 5G communication system may be improved to serve multiple wireless communication applications.