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Maximizing Resource Efficiency in Wireless Networks through Virtualization and Opportunistic Channel Allocation.
Inga, Esteban; Inga, Juan; Hincapié, Roberto.
Afiliação
  • Inga E; Department of Master's Degree in ICT for Education, Smart Grid Research Group (GIREI), Universidad Politécnica Salesiana, Quito EC170525, Ecuador.
  • Inga J; Telecommunications Research Group (GITEL), Universidad Politécnica Salesiana, Cuenca EC010102, Ecuador.
  • Hincapié R; Information and Communication Technology Applications Research and Development Group (GIDATIC), Universidad Pontificia Bolivariana, Medellín CO050031, Colombia.
Sensors (Basel) ; 23(8)2023 Apr 13.
Article em En | MEDLINE | ID: mdl-37112290
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Equador País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Equador País de publicação: Suíça