Stochastic Geometry-Based Analysis of Heterogeneous Wireless Network Spectral, Energy and Deployment Efficiency
For quite a while, it has been evident that homogeneous network architectures, based on cells with a uniform radiation pattern, cannot fulfill the ever increasing demand of mobile users for capacity and service quality while still preserving spectrum and energy. However, only with the introduction o...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-03-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/10/7/786 |
| _version_ | 1797539917685850112 |
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| author | Jasmin Musovic Vlatko Lipovac Adriana Lipovac |
| author_facet | Jasmin Musovic Vlatko Lipovac Adriana Lipovac |
| author_sort | Jasmin Musovic |
| collection | DOAJ |
| description | For quite a while, it has been evident that homogeneous network architectures, based on cells with a uniform radiation pattern, cannot fulfill the ever increasing demand of mobile users for capacity and service quality while still preserving spectrum and energy. However, only with the introduction of the Fourth Generation mobile communication networks to deal with the surging data traffic of multimedia applications, have smaller cells been widely used to break down service zone areas of macro base stations into multiple tiers, thus improving network performance, reducing traffic congestion, and enabling better management of spectrum and energy consumption in a macro network. In this paper, we present an analytical model for assessing the efficiency of bandwidth and energy usage, as well as of network deployment, taking into account overall network investment and maintenance costs. This paves the way to the improved planning of network coverage, and its capacity and reliability, thus preserving its spectrum and energy, as well as the environment. The analysis considers the downlink of an arbitrary heterogeneous cellular network by using tools of stochastic geometry that adopt the distribution of base stations in the form of a Poisson Point Process. The proposed analytical model is verified by the according software simulations using the ns-3 network simulator. The obtained results closely match the theoretically predicted values and boundaries, clearly indicating that, in all three analyzed aspects: spectral, energy, and deploymental, the efficiency of small-cell networks was higher with respect to traditional large-cell networks and increased even further for heterogeneous (two-tier in our tests) networks. |
| first_indexed | 2024-03-10T12:52:37Z |
| format | Article |
| id | doaj.art-d2cffe0b1ff84e01a8a20763f1f55beb |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T12:52:37Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-d2cffe0b1ff84e01a8a20763f1f55beb2023-11-21T12:10:08ZengMDPI AGElectronics2079-92922021-03-0110778610.3390/electronics10070786Stochastic Geometry-Based Analysis of Heterogeneous Wireless Network Spectral, Energy and Deployment EfficiencyJasmin Musovic0Vlatko Lipovac1Adriana Lipovac2Communications Regulatory Agency, 71000 Sarajevo, Bosnia and HerzegovinaDeparetmet of Electrical Engineering and Computing, University of Dubrovnik, 20000 Dubrovnik, CroatiaDeparetmet of Electrical Engineering and Computing, University of Dubrovnik, 20000 Dubrovnik, CroatiaFor quite a while, it has been evident that homogeneous network architectures, based on cells with a uniform radiation pattern, cannot fulfill the ever increasing demand of mobile users for capacity and service quality while still preserving spectrum and energy. However, only with the introduction of the Fourth Generation mobile communication networks to deal with the surging data traffic of multimedia applications, have smaller cells been widely used to break down service zone areas of macro base stations into multiple tiers, thus improving network performance, reducing traffic congestion, and enabling better management of spectrum and energy consumption in a macro network. In this paper, we present an analytical model for assessing the efficiency of bandwidth and energy usage, as well as of network deployment, taking into account overall network investment and maintenance costs. This paves the way to the improved planning of network coverage, and its capacity and reliability, thus preserving its spectrum and energy, as well as the environment. The analysis considers the downlink of an arbitrary heterogeneous cellular network by using tools of stochastic geometry that adopt the distribution of base stations in the form of a Poisson Point Process. The proposed analytical model is verified by the according software simulations using the ns-3 network simulator. The obtained results closely match the theoretically predicted values and boundaries, clearly indicating that, in all three analyzed aspects: spectral, energy, and deploymental, the efficiency of small-cell networks was higher with respect to traditional large-cell networks and increased even further for heterogeneous (two-tier in our tests) networks.https://www.mdpi.com/2079-9292/10/7/786heterogeneous cellular networkspectral efficiencydeployment efficiencyPoisson Point Processns-3 |
| spellingShingle | Jasmin Musovic Vlatko Lipovac Adriana Lipovac Stochastic Geometry-Based Analysis of Heterogeneous Wireless Network Spectral, Energy and Deployment Efficiency Electronics heterogeneous cellular network spectral efficiency deployment efficiency Poisson Point Process ns-3 |
| title | Stochastic Geometry-Based Analysis of Heterogeneous Wireless Network Spectral, Energy and Deployment Efficiency |
| title_full | Stochastic Geometry-Based Analysis of Heterogeneous Wireless Network Spectral, Energy and Deployment Efficiency |
| title_fullStr | Stochastic Geometry-Based Analysis of Heterogeneous Wireless Network Spectral, Energy and Deployment Efficiency |
| title_full_unstemmed | Stochastic Geometry-Based Analysis of Heterogeneous Wireless Network Spectral, Energy and Deployment Efficiency |
| title_short | Stochastic Geometry-Based Analysis of Heterogeneous Wireless Network Spectral, Energy and Deployment Efficiency |
| title_sort | stochastic geometry based analysis of heterogeneous wireless network spectral energy and deployment efficiency |
| topic | heterogeneous cellular network spectral efficiency deployment efficiency Poisson Point Process ns-3 |
| url | https://www.mdpi.com/2079-9292/10/7/786 |
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