Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387090460> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W4387090460 abstract "With the rapid development and popularity of 5G in recent years, securing its transmission efficiency and speed is of great importance to the development of various industries and people's daily life. Under the condition of circular coverage, the station sites are planned and the distance constraint is satisfied. Under the condition of cost control, we find the optimal solution with service volume greater than 90%. First, we screen out a portion of data under the constraint that the distance between new base stations and existing base stations is greater than 10. We consider the dynamic planning method for optimizing the decision result. Then the model is constructed as a 0–1 planning problem according to the two cases of selection and non-selection, with selection as 1 and non-selection as 0. Then the simulated annealing algorithm is used to take into account the global situation and run with high efficiency. The final optimal result of the model is 91.09% of the coverage service volume. In order to better solve the problem of weak coverage, we try to adopt the system of regionalization management, based on the principle of clustering any two weak coverage points with Euclidean distance not more than 20 are considered as one class using suitable clusters to form a weak coverage area. So that the total time complexity is as low as possible. We used the K-means method and used the Gap function to get the most suitable k value, and finally we chose to divide it into 18 clusters. Then the DBI index is used as an index to evaluate the merit of the clustering algorithm, and then the time complexity is obtained by the related algorithm, which is graded to obtain different levels of complexity." @default.
- W4387090460 created "2023-09-28" @default.
- W4387090460 creator A5013778882 @default.
- W4387090460 creator A5030975156 @default.
- W4387090460 creator A5070269841 @default.
- W4387090460 date "2023-08-11" @default.
- W4387090460 modified "2023-09-28" @default.
- W4387090460 title "Research on Base Station Siting Based on K-Means Clustering Algorithm" @default.
- W4387090460 doi "https://doi.org/10.1109/icipca59209.2023.10257904" @default.
- W4387090460 hasPublicationYear "2023" @default.
- W4387090460 type Work @default.
- W4387090460 citedByCount "0" @default.
- W4387090460 crossrefType "proceedings-article" @default.
- W4387090460 hasAuthorship W4387090460A5013778882 @default.
- W4387090460 hasAuthorship W4387090460A5030975156 @default.
- W4387090460 hasAuthorship W4387090460A5070269841 @default.
- W4387090460 hasConcept C11413529 @default.
- W4387090460 hasConcept C120174047 @default.
- W4387090460 hasConcept C126255220 @default.
- W4387090460 hasConcept C126980161 @default.
- W4387090460 hasConcept C134306372 @default.
- W4387090460 hasConcept C136264566 @default.
- W4387090460 hasConcept C14036430 @default.
- W4387090460 hasConcept C154945302 @default.
- W4387090460 hasConcept C15744967 @default.
- W4387090460 hasConcept C162324750 @default.
- W4387090460 hasConcept C2524010 @default.
- W4387090460 hasConcept C2776036281 @default.
- W4387090460 hasConcept C2780378061 @default.
- W4387090460 hasConcept C2780586970 @default.
- W4387090460 hasConcept C33923547 @default.
- W4387090460 hasConcept C41008148 @default.
- W4387090460 hasConcept C42058472 @default.
- W4387090460 hasConcept C42475967 @default.
- W4387090460 hasConcept C68649174 @default.
- W4387090460 hasConcept C73555534 @default.
- W4387090460 hasConcept C76155785 @default.
- W4387090460 hasConcept C77805123 @default.
- W4387090460 hasConcept C78458016 @default.
- W4387090460 hasConcept C81917197 @default.
- W4387090460 hasConcept C86803240 @default.
- W4387090460 hasConceptScore W4387090460C11413529 @default.
- W4387090460 hasConceptScore W4387090460C120174047 @default.
- W4387090460 hasConceptScore W4387090460C126255220 @default.
- W4387090460 hasConceptScore W4387090460C126980161 @default.
- W4387090460 hasConceptScore W4387090460C134306372 @default.
- W4387090460 hasConceptScore W4387090460C136264566 @default.
- W4387090460 hasConceptScore W4387090460C14036430 @default.
- W4387090460 hasConceptScore W4387090460C154945302 @default.
- W4387090460 hasConceptScore W4387090460C15744967 @default.
- W4387090460 hasConceptScore W4387090460C162324750 @default.
- W4387090460 hasConceptScore W4387090460C2524010 @default.
- W4387090460 hasConceptScore W4387090460C2776036281 @default.
- W4387090460 hasConceptScore W4387090460C2780378061 @default.
- W4387090460 hasConceptScore W4387090460C2780586970 @default.
- W4387090460 hasConceptScore W4387090460C33923547 @default.
- W4387090460 hasConceptScore W4387090460C41008148 @default.
- W4387090460 hasConceptScore W4387090460C42058472 @default.
- W4387090460 hasConceptScore W4387090460C42475967 @default.
- W4387090460 hasConceptScore W4387090460C68649174 @default.
- W4387090460 hasConceptScore W4387090460C73555534 @default.
- W4387090460 hasConceptScore W4387090460C76155785 @default.
- W4387090460 hasConceptScore W4387090460C77805123 @default.
- W4387090460 hasConceptScore W4387090460C78458016 @default.
- W4387090460 hasConceptScore W4387090460C81917197 @default.
- W4387090460 hasConceptScore W4387090460C86803240 @default.
- W4387090460 hasLocation W43870904601 @default.
- W4387090460 hasOpenAccess W4387090460 @default.
- W4387090460 hasPrimaryLocation W43870904601 @default.
- W4387090460 hasRelatedWork W1556739848 @default.
- W4387090460 hasRelatedWork W167806033 @default.
- W4387090460 hasRelatedWork W2104700403 @default.
- W4387090460 hasRelatedWork W2133515697 @default.
- W4387090460 hasRelatedWork W2199503811 @default.
- W4387090460 hasRelatedWork W2361982188 @default.
- W4387090460 hasRelatedWork W2377333748 @default.
- W4387090460 hasRelatedWork W2389846458 @default.
- W4387090460 hasRelatedWork W2406532298 @default.
- W4387090460 hasRelatedWork W3207215698 @default.
- W4387090460 isParatext "false" @default.
- W4387090460 isRetracted "false" @default.
- W4387090460 workType "article" @default.