Frequency re-use distance calculation in cellular systems based on Monte-Carlo simulation

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dc.contributor.author Girma, Solomon T.
dc.contributor.author Konditi, Dominic B. O.
dc.contributor.author Ciira, Wa Maina
dc.date.accessioned 2019-06-11T08:02:22Z
dc.date.available 2019-06-11T08:02:22Z
dc.date.issued 2019-02-27
dc.identifier.citation 1016/j.heliyon.2019. e01302 en_US
dc.identifier.issn e01302
dc.identifier.uri https://www.sciencedirect.com/science/article/pii/S2405844018374425
dc.description.abstract 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 ¼ 1, N ¼ 3, N ¼ 4, and N ¼ 7 respectively. In terms of throughput per total bandwidth per a single site, N ¼ 7 offers a spectrum utilization of 1/7 and N ¼ 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%. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject Electrical engineering en_US
dc.title Frequency re-use distance calculation in cellular systems based on Monte-Carlo simulation en_US
dc.type Article en_US


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