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Frequency re-use distance calculation in cellular systems based on Monte-Carlo simulation
Radio spectrum's sharing guideline is an essential component of spectrum utilization process. Since there is no insightful interference avoidance method in a radio system, the careful selection of sharing conditions is the only means for achieving successful co-existence and optimal spectrum us...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6407157/ https://www.ncbi.nlm.nih.gov/pubmed/30899830 http://dx.doi.org/10.1016/j.heliyon.2019.e01302 |
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author | Girma, Solomon T. Konditi, Dominic B.O. Maina, Ciira |
author_facet | Girma, Solomon T. Konditi, Dominic B.O. Maina, Ciira |
author_sort | Girma, Solomon T. |
collection | PubMed |
description | Radio spectrum's sharing guideline is an essential component of spectrum utilization process. Since there is no insightful interference avoidance method in a radio system, the careful selection of sharing conditions is the only means for achieving successful co-existence and optimal spectrum usage in the radio system. Spectrum sharing rule can be obtained by an analytical method or statistical method. The analytical method considers the worst case scenario to calculate sharing rules. Nonetheless, this doesn't represent the lasting phenomenon amid ordinary task; moreover sharing rules may be unnecessarily rigid. Henceforth, the Monte Carlo Simulation (MCS) strategy has been utilized to establish a probability of interference based on a random distribution of victim link receiver in time and space with respect to victim link transmitters. The study has been done for cluster number N with values of 1, 3, 4, and 7 in a cellular system. Monte Carlo Simulation analysis showed the percentages of interference are 24.94%, 9.36%, 3.33%, and 0.4% for N = 1, N = 3, N = 4, and N = 7 respectively. In terms of throughput per total bandwidth per a single site, N = 7 offers a spectrum utilization of 1/7 and N = 4 offers a spectrum utilization of 1/4. Therefore, a relative enhancement in capacity of 7/4 has been achieved with 3.3% probability of interference which is below the threshold value of 5%. |
format | Online Article Text |
id | pubmed-6407157 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-64071572019-03-21 Frequency re-use distance calculation in cellular systems based on Monte-Carlo simulation Girma, Solomon T. Konditi, Dominic B.O. Maina, Ciira Heliyon Article Radio spectrum's sharing guideline is an essential component of spectrum utilization process. Since there is no insightful interference avoidance method in a radio system, the careful selection of sharing conditions is the only means for achieving successful co-existence and optimal spectrum usage in the radio system. Spectrum sharing rule can be obtained by an analytical method or statistical method. The analytical method considers the worst case scenario to calculate sharing rules. Nonetheless, this doesn't represent the lasting phenomenon amid ordinary task; moreover sharing rules may be unnecessarily rigid. Henceforth, the Monte Carlo Simulation (MCS) strategy has been utilized to establish a probability of interference based on a random distribution of victim link receiver in time and space with respect to victim link transmitters. The study has been done for cluster number N with values of 1, 3, 4, and 7 in a cellular system. Monte Carlo Simulation analysis showed the percentages of interference are 24.94%, 9.36%, 3.33%, and 0.4% for N = 1, N = 3, N = 4, and N = 7 respectively. In terms of throughput per total bandwidth per a single site, N = 7 offers a spectrum utilization of 1/7 and N = 4 offers a spectrum utilization of 1/4. Therefore, a relative enhancement in capacity of 7/4 has been achieved with 3.3% probability of interference which is below the threshold value of 5%. Elsevier 2019-03-07 /pmc/articles/PMC6407157/ /pubmed/30899830 http://dx.doi.org/10.1016/j.heliyon.2019.e01302 Text en © 2019 Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Girma, Solomon T. Konditi, Dominic B.O. Maina, Ciira Frequency re-use distance calculation in cellular systems based on Monte-Carlo simulation |
title | Frequency re-use distance calculation in cellular systems based on Monte-Carlo simulation |
title_full | Frequency re-use distance calculation in cellular systems based on Monte-Carlo simulation |
title_fullStr | Frequency re-use distance calculation in cellular systems based on Monte-Carlo simulation |
title_full_unstemmed | Frequency re-use distance calculation in cellular systems based on Monte-Carlo simulation |
title_short | Frequency re-use distance calculation in cellular systems based on Monte-Carlo simulation |
title_sort | frequency re-use distance calculation in cellular systems based on monte-carlo simulation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6407157/ https://www.ncbi.nlm.nih.gov/pubmed/30899830 http://dx.doi.org/10.1016/j.heliyon.2019.e01302 |
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