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

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.

SUBMITTER: Inga E

PROVIDER: S-EPMC10143220 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature

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

Inga Esteban E Inga Juan J Hincapié Roberto R

Sensors (Basel, Switzerland) 20230413 8

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 se ...[more]

PMID: 37112290

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Project description:ObjectiveTo analyze the equity and efficiency of public health resource allocation in China from 2018 to 2022, and to provide a scientific basis for promoting the development of public health resources in China.MethodsData on public health resources of 31 provincial-level administrative regions in mainland China were extracted from 2018 to 2022, and descriptive analysis, Theil index, and health resource agglomeration degree (HRAD) were used to analyze the equity, and data envelopment analysis (DEA) was used to analyze the efficiency.ResultsThe Theil index of public health resource allocation by population in China ranges from 0.006 to 0.049, and the Theil index contribution rate of the number of beds, health technicians, licensed (assistant) physicians, and registered nurses within region is less than 28.76%. The Theil index of public health resource allocation by geography in China ranges from 0.274 to 0.624, and the Theil index contribution rate of the number of institutions, the number of beds, health technicians, licensed (assistant) physicians, and registered nurses within region is more than 77.05%. The HRAD of public health resources is more than 2.18 in the eastern and central regions, while the HRAD of public health resources is less than 1 in the northeastern and western regions. The overall HRAD/population agglomeration degree (PAD) is less than 1 in the northeastern and eastern regions, and greater than 1 in the central and western regions overall. The scale efficiency and overall efficiency of public health resource allocation in China are not 1, the returns to scale are decreasing, and the DEA is relatively ineffective from 2019 to 2022.ConclusionThe equity by geography is slightly worse than the equity by population, and the inequity by population mainly comes from between regions, while the inequity by geography mainly comes from within regions. There is a contradiction in the equity by population and by geography allocation in the eastern and western regions, and a congruence in the equity by population and by geography allocation in the northeastern and central regions. The DEA of public health resource allocation in China is relatively ineffective in 2019-2022.

Project description:BackgroundJiangsu was one of the first four pilot provinces to engage in comprehensive health care reform in China, which has been on-going for the past 5 years. This study aims to evaluate the equity, efficiency and productivity of health care resource allocation in Jiangsu Province using the most recent data, analyse the causes of deficiencies, and discuss measures to solve these problems.MethodsData were extracted from the Jiangsu Health/Family Planning Statistical Yearbook (2015-2019) and Jiangsu Statistical Yearbook (2015-2019). The Gini coefficient (G), Theil index (T) and health resource density index (HRDI) were chosen to study the fairness of health resource allocation in Jiangsu Province. Data envelopment analysis (DEA) and the Malmquist productivity index (MPI) were used to analyse the efficiency and productivity of this allocation.ResultsFrom 2014 to 2018, the total amount of health resources in Jiangsu Province increased. The G of primary resource allocation by population remained below 0.15, and that by geographical area was between 0.14 and 0.28; additionally, the G of health financial resources was below 0.26, and that by geographical area was above 0.39. T was consistent with the results for G and Lorenz curves. The HRDI shows that the allocated amounts of health care resources were the highest in southern Jiangsu, except for the number of health institutions. The average value of TE was above 0.93, and the DEA results were invalid for only two cities. From 2014 to 2018, the mean TFPC in Jiangsu was less than 1, and the values exceeded 1 for only five cities.ConclusionThe equity of basic medical resources was better than that of financial resources, and the equity of geographical allocation was better than that of population allocation. The overall efficiency of health care resource allocation was high; however, the total factor productivity of the whole province has declined due to technological regression. Jiangsu Province needs to further optimize the allocation and increase the utilization efficiency of health care resources.

Dataset Information

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

Publications

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

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