{"title":"基于q -学习算法的基站能量优化","authors":"Anisha Aggarwal, S. Dharmaraja","doi":"10.1109/ConTEL58387.2023.10198963","DOIUrl":null,"url":null,"abstract":"A sleep strategy with several sleep mode (SM) levels for energy-efficient 5G base stations (BS) is proposed to reduce energy consumption. Energy consumption and Quality of Service (QoS) management are paired as a result of awakening sleeping BSs. Advanced Sleep Modes (ASMs) gradually deactivate BS components to save energy. Based on component transition times (deactivation and activation), different SM levels could be considered. This research proposes a Q-learning based approach for ASMs to present an optimal tradeoff between energy consumption and QoS.","PeriodicalId":311611,"journal":{"name":"2023 17th International Conference on Telecommunications (ConTEL)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Energy Optimization of a Base Station using Q-learning Algorithm\",\"authors\":\"Anisha Aggarwal, S. Dharmaraja\",\"doi\":\"10.1109/ConTEL58387.2023.10198963\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A sleep strategy with several sleep mode (SM) levels for energy-efficient 5G base stations (BS) is proposed to reduce energy consumption. Energy consumption and Quality of Service (QoS) management are paired as a result of awakening sleeping BSs. Advanced Sleep Modes (ASMs) gradually deactivate BS components to save energy. Based on component transition times (deactivation and activation), different SM levels could be considered. This research proposes a Q-learning based approach for ASMs to present an optimal tradeoff between energy consumption and QoS.\",\"PeriodicalId\":311611,\"journal\":{\"name\":\"2023 17th International Conference on Telecommunications (ConTEL)\",\"volume\":\"92 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 17th International Conference on Telecommunications (ConTEL)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ConTEL58387.2023.10198963\",\"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 17th International Conference on Telecommunications (ConTEL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ConTEL58387.2023.10198963","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy Optimization of a Base Station using Q-learning Algorithm
A sleep strategy with several sleep mode (SM) levels for energy-efficient 5G base stations (BS) is proposed to reduce energy consumption. Energy consumption and Quality of Service (QoS) management are paired as a result of awakening sleeping BSs. Advanced Sleep Modes (ASMs) gradually deactivate BS components to save energy. Based on component transition times (deactivation and activation), different SM levels could be considered. This research proposes a Q-learning based approach for ASMs to present an optimal tradeoff between energy consumption and QoS.
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