Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Girma, Solomon T., Konditi, Dominic B.O., Maina, Ciira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
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
_version_ 1783401483631329280
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
work_keys_str_mv AT girmasolomont frequencyreusedistancecalculationincellularsystemsbasedonmontecarlosimulation
AT konditidominicbo frequencyreusedistancecalculationincellularsystemsbasedonmontecarlosimulation
AT mainaciira frequencyreusedistancecalculationincellularsystemsbasedonmontecarlosimulation