Resource pooling via dynamic spectrum-level slicing across heterogeneous networks

Anteneh A. Gebremariam; Mainak Chowdhury; Andrea Goldsmith; Fabrizio Granelli

doi:10.1109/CCNC.2017.7983239

Resource pooling via dynamic spectrum-level slicing across heterogeneous networks

Anteneh A. Gebremariam, Mainak Chowdhury, Andrea Goldsmith, Fabrizio Granelli

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

11 Scopus citations

Abstract

The performance gains from dynamic allocation of radio resources across multiple heterogeneous networks is studied. Through virtualization, the physical radio resources of the heterogeneous networks are first abstracted into a centralized pool of virtual radio resources. A dynamic spectrum-level slicing algorithm to share these radio resources across the different networks is then presented. This algorithm is responsive to changing user load and channel conditions. Simulation results show that for representative user arrival statistics, dynamic allocation of radio resources significantly lowers the percentage of dropped packets. In addition, they reveal that the triggers for dynamic allocation of resources across coexisting virtual networks occur every other time interval under the worst case traffic variation in the system (i.e., traffic varies every time interval). Our results suggest that performance benefits can be had even if dynamic spectrum-level slicing does not happen on time scales similar to that of the local resource schedulers residing in each virtual network.

Original language	English (US)
Title of host publication	2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	818-823
Number of pages	6
ISBN (Electronic)	9781509061969
DOIs	https://doi.org/10.1109/CCNC.2017.7983239
State	Published - Jul 17 2017
Externally published	Yes
Event	14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017 - Las Vegas, United States Duration: Jan 8 2017 → Jan 11 2017

Publication series

Name	2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017

Conference

Conference	14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017
Country/Territory	United States
City	Las Vegas
Period	1/8/17 → 1/11/17

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Computer Science Applications
Hardware and Architecture
Communication

Keywords

Dynamic spectrum
HetNet
Radio resource pooling
Slicing
Small Cells
Virtualization

Access to Document

10.1109/CCNC.2017.7983239

Cite this

Gebremariam, A. A., Chowdhury, M., Goldsmith, A., & Granelli, F. (2017). Resource pooling via dynamic spectrum-level slicing across heterogeneous networks. In 2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017 (pp. 818-823). Article 7983239 (2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCNC.2017.7983239

Gebremariam, Anteneh A. ; Chowdhury, Mainak ; Goldsmith, Andrea et al. / Resource pooling via dynamic spectrum-level slicing across heterogeneous networks. 2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 818-823 (2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017).

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title = "Resource pooling via dynamic spectrum-level slicing across heterogeneous networks",

abstract = "The performance gains from dynamic allocation of radio resources across multiple heterogeneous networks is studied. Through virtualization, the physical radio resources of the heterogeneous networks are first abstracted into a centralized pool of virtual radio resources. A dynamic spectrum-level slicing algorithm to share these radio resources across the different networks is then presented. This algorithm is responsive to changing user load and channel conditions. Simulation results show that for representative user arrival statistics, dynamic allocation of radio resources significantly lowers the percentage of dropped packets. In addition, they reveal that the triggers for dynamic allocation of resources across coexisting virtual networks occur every other time interval under the worst case traffic variation in the system (i.e., traffic varies every time interval). Our results suggest that performance benefits can be had even if dynamic spectrum-level slicing does not happen on time scales similar to that of the local resource schedulers residing in each virtual network.",

keywords = "Dynamic spectrum, HetNet, Radio resource pooling, Slicing, Small Cells, Virtualization",

author = "Gebremariam, {Anteneh A.} and Mainak Chowdhury and Andrea Goldsmith and Fabrizio Granelli",

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Gebremariam, AA, Chowdhury, M, Goldsmith, A & Granelli, F 2017, Resource pooling via dynamic spectrum-level slicing across heterogeneous networks. in 2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017., 7983239, 2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017, Institute of Electrical and Electronics Engineers Inc., pp. 818-823, 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017, Las Vegas, United States, 1/8/17. https://doi.org/10.1109/CCNC.2017.7983239

Resource pooling via dynamic spectrum-level slicing across heterogeneous networks. / Gebremariam, Anteneh A.; Chowdhury, Mainak; Goldsmith, Andrea et al.
2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 818-823 7983239 (2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017).

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

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AB - The performance gains from dynamic allocation of radio resources across multiple heterogeneous networks is studied. Through virtualization, the physical radio resources of the heterogeneous networks are first abstracted into a centralized pool of virtual radio resources. A dynamic spectrum-level slicing algorithm to share these radio resources across the different networks is then presented. This algorithm is responsive to changing user load and channel conditions. Simulation results show that for representative user arrival statistics, dynamic allocation of radio resources significantly lowers the percentage of dropped packets. In addition, they reveal that the triggers for dynamic allocation of resources across coexisting virtual networks occur every other time interval under the worst case traffic variation in the system (i.e., traffic varies every time interval). Our results suggest that performance benefits can be had even if dynamic spectrum-level slicing does not happen on time scales similar to that of the local resource schedulers residing in each virtual network.

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Gebremariam AA, Chowdhury M, Goldsmith A, Granelli F. Resource pooling via dynamic spectrum-level slicing across heterogeneous networks. In 2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 818-823. 7983239. (2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017). doi: 10.1109/CCNC.2017.7983239

Resource pooling via dynamic spectrum-level slicing across heterogeneous networks

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

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