Latency in Downlink Cellular Networks with Random Scheduling

Giovanni Chisci; Hesham ElSawy; Andrea Conti; Mohamed-Slim Alouini; Moe Z. Win

doi:10.1109/ICC.2019.8761076

Latency in Downlink Cellular Networks with Random Scheduling

Giovanni Chisci, Hesham ElSawy, Andrea Conti, Mohamed-Slim Alouini, Moe Z. Win

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

The 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.

Original language	English (US)
Title of host publication	ICC 2019 - 2019 IEEE International Conference on Communications (ICC)
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781538680889
DOIs	https://doi.org/10.1109/ICC.2019.8761076
State	Published - Jul 16 2019

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10.1109/ICC.2019.8761076

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title = "Latency in Downlink Cellular Networks with Random Scheduling",

abstract = "The 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.",

author = "Giovanni Chisci and Hesham ElSawy and Andrea Conti and Mohamed-Slim Alouini and Win, {Moe Z.}",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: This 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.",

year = "2019",

month = jul,

day = "16",

doi = "10.1109/ICC.2019.8761076",

language = "English (US)",

isbn = "9781538680889",

booktitle = "ICC 2019 - 2019 IEEE International Conference on Communications (ICC)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

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T1 - Latency in Downlink Cellular Networks with Random Scheduling

AU - Chisci, Giovanni

AU - ElSawy, Hesham

AU - Conti, Andrea

AU - Alouini, Mohamed-Slim

AU - Win, Moe Z.

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: This 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.

PY - 2019/7/16

Y1 - 2019/7/16

N2 - The 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.

AB - The 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.

UR - http://hdl.handle.net/10754/656767

UR - https://ieeexplore.ieee.org/document/8761076/

UR - http://www.scopus.com/inward/record.url?scp=85070194218&partnerID=8YFLogxK

U2 - 10.1109/ICC.2019.8761076

DO - 10.1109/ICC.2019.8761076

M3 - Conference contribution

SN - 9781538680889

BT - ICC 2019 - 2019 IEEE International Conference on Communications (ICC)

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Latency in Downlink Cellular Networks with Random Scheduling

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