Heterogeneous scheduling in wireless networks: Machine to machine case study

Emerging mobile applications transcend limitations, existing in macrocell architectures, highlighting context and location aware services. Those applications necessitate a periodical, short-in-size exchange of information between terminals and (Small-cell) base stations, typically without human intervention. Integrating service plans into a non-homogeneous framework is by default a complex and implementation-stringent task. In this study, we investigate the performance of two hybrid, scheduling policies that target to effectively cater for aggregated offered load, irregular in delay span and volume distribution, applicable to heterogeneous environments. Although both schedulers operate on a scalable and energy-conservative mode, only one guard QoS provision for existing connections, under predesignated restraints. We demonstrate the efficiency of the proposed schedulers through simulation and comparison of performance indexes including average packet service delay against their predecessors.