{"title":"IEEE 802.11be中的多链路分析","authors":"Shubhodeep Adhikari, S. Verma","doi":"10.1109/MCOMSTD.0001.2100086","DOIUrl":null,"url":null,"abstract":"Multilink (ML) is a key feature in 802.11be, the latest amendment of 802.11 (commonly known as WiFi). It allows an 802.11 device to transmit and receive data on more than one dynamically selected links, the selection of links being based on the instantaneous availability of links, their interference profile, supported data rates, etc. ML is expected to significantly improve both throughput and latency in 802.11, not only in congestion-free channels but also in moderate to heavily congested channels. This article begins by providing an overview of ML in 802.11be, including the different variants of ML. Next, it discusses the expected performance of the variants of ML relative to legacy 802.11. Finally, it analyzes simulation-based evaluations of ML across a range of link configurations and environments.","PeriodicalId":36719,"journal":{"name":"IEEE Communications Standards Magazine","volume":"6 1","pages":"52-58"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analysis of Multilink in IEEE 802.11be\",\"authors\":\"Shubhodeep Adhikari, S. Verma\",\"doi\":\"10.1109/MCOMSTD.0001.2100086\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multilink (ML) is a key feature in 802.11be, the latest amendment of 802.11 (commonly known as WiFi). It allows an 802.11 device to transmit and receive data on more than one dynamically selected links, the selection of links being based on the instantaneous availability of links, their interference profile, supported data rates, etc. ML is expected to significantly improve both throughput and latency in 802.11, not only in congestion-free channels but also in moderate to heavily congested channels. This article begins by providing an overview of ML in 802.11be, including the different variants of ML. Next, it discusses the expected performance of the variants of ML relative to legacy 802.11. Finally, it analyzes simulation-based evaluations of ML across a range of link configurations and environments.\",\"PeriodicalId\":36719,\"journal\":{\"name\":\"IEEE Communications Standards Magazine\",\"volume\":\"6 1\",\"pages\":\"52-58\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Communications Standards Magazine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MCOMSTD.0001.2100086\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Communications Standards Magazine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MCOMSTD.0001.2100086","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
Multilink (ML) is a key feature in 802.11be, the latest amendment of 802.11 (commonly known as WiFi). It allows an 802.11 device to transmit and receive data on more than one dynamically selected links, the selection of links being based on the instantaneous availability of links, their interference profile, supported data rates, etc. ML is expected to significantly improve both throughput and latency in 802.11, not only in congestion-free channels but also in moderate to heavily congested channels. This article begins by providing an overview of ML in 802.11be, including the different variants of ML. Next, it discusses the expected performance of the variants of ML relative to legacy 802.11. Finally, it analyzes simulation-based evaluations of ML across a range of link configurations and environments.
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