Maximizing Resource Efficiency in Wireless Networks through Virtualization and Opportunistic Channel Allocation

Esteban Inga, Juan Inga, Roberto Hincapié

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Wireless cellular networks have become increasingly important in providing data access to cellular users via a grid of cells. Many applications are considered to read data from smart meters for potable water, gas, or electricity. This paper proposes a novel algorithm to assign paired channels for intelligent metering through wireless connectivity, which is particularly relevant due to the commercial advantages that a virtual operator currently provides. The algorithm considers the behavior of secondary spectrum channels assigned to smart metering in a cellular network. It explores spectrum reuse in a virtual mobile operator to optimize dynamic channel assignment. The proposed algorithm exploits the white holes in the cognitive radio spectrum and considers the coexistence of different uplink channels, resulting in improved efficiency and reliability for smart metering. The work also defines the average user transmission throughput and total smart meter cell throughput as metrics to measure performance, providing insights into the effects of the chosen values on the overall performance of the proposed algorithm.

Original languageEnglish
Article number3949
JournalSensors
Volume23
Issue number8
DOIs
StatePublished - 13 Apr 2023

Bibliographical note

Funding Information:
This work was financially funded by the Smart Grid Research Group (GIREI) of Universidad Politécnica Salesiana, the Power Grids and Smart Cities (RECI), Salesian Institutions of Higher Education (IUS).

Publisher Copyright:
© 2023 by the authors.

Keywords

  • assignment
  • cognitive mobile virtual network operator
  • Hungarian algorithm
  • matching
  • optimization
  • resource allocation
  • smart city
  • wireless sensor networks

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