{"title":"一种用于超密集网络的高效基站休眠配置","authors":"Garima Chopra","doi":"10.1109/ESCI56872.2023.10100245","DOIUrl":null,"url":null,"abstract":"With the exponential growth in demand by sub-scribers, ultra-dense networks (UDN) has shown to be effective in providing a high data rate. However, this excessive and random deployment of base stations (BSs) has escalated energy consumption and inter-cell interference. Base Station Sleeping (BSS) can significantly scale down the energy consumption by BSs during the underutilized period. To tackle this, a BSS configuration is proposed by keeping account of the UDN deployment scenario and users present per small cell BS (SBS). The proposed configuration is compared in terms of the overall downlink rate with the random configuration of BSS in UDN. Through extensive simulations, a trade-off is observed among downlink rate, Fairness index, and Energy saved.","PeriodicalId":441215,"journal":{"name":"2023 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Efficient Base Station Sleeping Configuration for Ultra-dense Networks\",\"authors\":\"Garima Chopra\",\"doi\":\"10.1109/ESCI56872.2023.10100245\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the exponential growth in demand by sub-scribers, ultra-dense networks (UDN) has shown to be effective in providing a high data rate. However, this excessive and random deployment of base stations (BSs) has escalated energy consumption and inter-cell interference. Base Station Sleeping (BSS) can significantly scale down the energy consumption by BSs during the underutilized period. To tackle this, a BSS configuration is proposed by keeping account of the UDN deployment scenario and users present per small cell BS (SBS). The proposed configuration is compared in terms of the overall downlink rate with the random configuration of BSS in UDN. Through extensive simulations, a trade-off is observed among downlink rate, Fairness index, and Energy saved.\",\"PeriodicalId\":441215,\"journal\":{\"name\":\"2023 International Conference on Emerging Smart Computing and Informatics (ESCI)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Emerging Smart Computing and Informatics (ESCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ESCI56872.2023.10100245\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Emerging Smart Computing and Informatics (ESCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESCI56872.2023.10100245","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Efficient Base Station Sleeping Configuration for Ultra-dense Networks
With the exponential growth in demand by sub-scribers, ultra-dense networks (UDN) has shown to be effective in providing a high data rate. However, this excessive and random deployment of base stations (BSs) has escalated energy consumption and inter-cell interference. Base Station Sleeping (BSS) can significantly scale down the energy consumption by BSs during the underutilized period. To tackle this, a BSS configuration is proposed by keeping account of the UDN deployment scenario and users present per small cell BS (SBS). The proposed configuration is compared in terms of the overall downlink rate with the random configuration of BSS in UDN. Through extensive simulations, a trade-off is observed among downlink rate, Fairness index, and Energy saved.