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

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

Sensors (Basel)

Information and Communication Technology Applications Research and Development Group (GIDATIC), Universidad Pontificia Bolivariana, Medellín CO050031, Colombia.

Published: April 2023

AI Article Synopsis

  • Wireless cellular networks are essential for providing data access to users through a grid of cells, especially for smart metering applications like water, gas, and electricity.
  • The paper introduces an algorithm for assigning paired channels aimed at optimizing smart metering connectivity via wireless communication, leveraging the benefits offered by virtual mobile operators.
  • It focuses on spectrum reuse and cognitive radio concepts to improve channel assignment efficiency and reliability, while defining metrics like average user transmission throughput to assess the algorithm's performance.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10143220PMC
http://dx.doi.org/10.3390/s23083949DOI Listing

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