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Virtualization and Programmability in Mobile Wireless Networks: Architecture and Resource Management

Published: 09 August 2017 Publication History

Abstract

We present a high-level end-to-end architecture for virtualization and programmability in next-generation mobile wireless networks. Our architecture envisions three major players: Service Providers, who wish to orchestrate wireless networks with particular characteristics to support particular applications; Resource Providers, who contribute resources such as spectrum, access points, backhaul infrastructure, and computing; and Virtual Network Builders, who marshal resources into networks for Service Providers. We take into account resource sharing and investigate how virtualization and programmability affect resource management. We show that: (i) virtualization reduces cost significantly, (ii) this cost reduction does not degrade the user satisfaction, and (iii) non-virtualized networks need to keep a large amount of idle capacity to satisfy coverage.

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References

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Cited By

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  • (2022)PARAInternational Journal of Intelligent Systems10.1002/int.2295437:11(8523-8547)Online publication date: 26-Sep-2022
  • (2021)A Joint Optimization Framework for Network Deployment and Adaptive User Assignment in Indoor Millimeter Wave NetworksIEEE Transactions on Wireless Communications10.1109/TWC.2021.308556320:11(7538-7554)Online publication date: Nov-2021
  • (2020)A Stochastic Optimization Framework for Channel Bonding in Wireless LANs Under Demand UncertaintyIEEE Transactions on Wireless Communications10.1109/TWC.2020.301260519:11(7528-7542)Online publication date: Nov-2020
  • Show More Cited By

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cover image ACM Conferences
MECOMM '17: Proceedings of the Workshop on Mobile Edge Communications
August 2017
67 pages
ISBN:9781450350525
DOI:10.1145/3098208
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 09 August 2017

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Author Tags

  1. Wireless network virtualization
  2. probabilistic resource allocation
  3. two-stage sequential optimization

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SIGCOMM '17
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SIGCOMM '17: ACM SIGCOMM 2017 Conference
August 21, 2017
CA, Los Angeles, USA

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Cited By

View all
  • (2022)PARAInternational Journal of Intelligent Systems10.1002/int.2295437:11(8523-8547)Online publication date: 26-Sep-2022
  • (2021)A Joint Optimization Framework for Network Deployment and Adaptive User Assignment in Indoor Millimeter Wave NetworksIEEE Transactions on Wireless Communications10.1109/TWC.2021.308556320:11(7538-7554)Online publication date: Nov-2021
  • (2020)A Stochastic Optimization Framework for Channel Bonding in Wireless LANs Under Demand UncertaintyIEEE Transactions on Wireless Communications10.1109/TWC.2020.301260519:11(7528-7542)Online publication date: Nov-2020
  • (2020)Market-Driven Stochastic Resource Allocation Framework for Wireless Network VirtualizationIEEE Systems Journal10.1109/JSYST.2019.292744314:1(489-499)Online publication date: Mar-2020
  • (2019)Joint Base Station Selection and Adaptive Slicing in Virtualized Wireless Networks: A Stochastic Optimization Framework2019 International Conference on Computing, Networking and Communications (ICNC)10.1109/ICCNC.2019.8685518(859-863)Online publication date: Feb-2019
  • (2018)Deployment Characteristics of "The Edge" in Mobile Edge ComputingProceedings of the 2018 Workshop on Mobile Edge Communications10.1145/3229556.3229557(43-49)Online publication date: 7-Aug-2018
  • (2018)Virtualization Framework for Cellular Networks with Downlink Rate Coverage Probability Constraints2018 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOCOM.2018.8647821(1-7)Online publication date: Dec-2018

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