{"title":"密集5G网络中基于网格通信图的基站ON-OFF切换算法","authors":"Zongjian Tong, Fangmin Xu, Cheng-lin Zhao","doi":"10.1109/ICCChina.2017.8330464","DOIUrl":null,"url":null,"abstract":"Next generation cellular networks, especially dense cell deployment, suffer from heavy energy waste during low-traffic periods. The major cause is that base stations are not able to adjust network configuration properly while traffic loads fluctuate temporally and spatially. In this paper, we propose a dense cell base station on-off switch algorithm with grid-based traffic map to improve the energy efficiency. First, a grid-based traffic map construction method is designed in dense cell circumstance with the assistant of Voronoi tessellation and natural neighbor interpolation. Then a low-complexity off-line algorithm that adjusts base station on-off according to different traffic loads is proposed. The simulation results verify the effectiveness of our algorithm.","PeriodicalId":418396,"journal":{"name":"2017 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"218 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A base station ON-OFF switch algorithm with grid-based traffic map in dense 5G network\",\"authors\":\"Zongjian Tong, Fangmin Xu, Cheng-lin Zhao\",\"doi\":\"10.1109/ICCChina.2017.8330464\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Next generation cellular networks, especially dense cell deployment, suffer from heavy energy waste during low-traffic periods. The major cause is that base stations are not able to adjust network configuration properly while traffic loads fluctuate temporally and spatially. In this paper, we propose a dense cell base station on-off switch algorithm with grid-based traffic map to improve the energy efficiency. First, a grid-based traffic map construction method is designed in dense cell circumstance with the assistant of Voronoi tessellation and natural neighbor interpolation. Then a low-complexity off-line algorithm that adjusts base station on-off according to different traffic loads is proposed. The simulation results verify the effectiveness of our algorithm.\",\"PeriodicalId\":418396,\"journal\":{\"name\":\"2017 IEEE/CIC International Conference on Communications in China (ICCC)\",\"volume\":\"218 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE/CIC International Conference on Communications in China (ICCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCChina.2017.8330464\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE/CIC International Conference on Communications in China (ICCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCChina.2017.8330464","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A base station ON-OFF switch algorithm with grid-based traffic map in dense 5G network
Next generation cellular networks, especially dense cell deployment, suffer from heavy energy waste during low-traffic periods. The major cause is that base stations are not able to adjust network configuration properly while traffic loads fluctuate temporally and spatially. In this paper, we propose a dense cell base station on-off switch algorithm with grid-based traffic map to improve the energy efficiency. First, a grid-based traffic map construction method is designed in dense cell circumstance with the assistant of Voronoi tessellation and natural neighbor interpolation. Then a low-complexity off-line algorithm that adjusts base station on-off according to different traffic loads is proposed. The simulation results verify the effectiveness of our algorithm.