KAUST DepartmentElectrical Engineering Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Online Publication Date2019-07-16
Print Publication Date2019-05
Permanent link to this recordhttp://hdl.handle.net/10754/656767
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AbstractThe characterization of the latency is essential for operation of 5G and beyond 5G cellular networks. This paper develops a spatiotemporal model to characterize latency in the downlink of large-scale cellular networks with random scheduling. In particular, the framework integrates stochastic geometry and queueing theory, to capture the interwoven interactions between the microscopic behavior of each wireless link and the macroscopic mutual interference between all links in the network. The developed framework enables a traffic-aware characterization of the transmission success probability and of the latency across the network.
SponsorsThis work was supported in part by FAR and the “5x1000” Young Researcher Mobility Project, University of Ferrara, Italy, in part by the KAUST Sensor Research Initiative under Award OSR-2015- SENSORS-2700, and in part by the National Science Foundation under Grant CCF-1525705.
Conference/Event name2019 IEEE International Conference on Communications, ICC 2019