{"title":"LATTE:通过商品wifi进行视频流的在线MU-MIMO分组","authors":"H. Pasandi, T. Nadeem","doi":"10.1145/3458864.3466913","DOIUrl":null,"url":null,"abstract":"In this paper, we present LATTE, a novel framework that proposes MU-MIMO group selection optimization for multi-user video streaming over IEEE 802.11ac. Taking a cross-layer approach, LATTE first optimizes the MU-MIMO user group selection for the users with the same characteristics in the PHY/MAC layer. It then optimizes the video bitrate for each group accordingly. We present our design and its evaluation on smartphones over 802.11ac WiFi.","PeriodicalId":153361,"journal":{"name":"Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"LATTE: online MU-MIMO grouping for video streaming over commodity wifi\",\"authors\":\"H. Pasandi, T. Nadeem\",\"doi\":\"10.1145/3458864.3466913\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present LATTE, a novel framework that proposes MU-MIMO group selection optimization for multi-user video streaming over IEEE 802.11ac. Taking a cross-layer approach, LATTE first optimizes the MU-MIMO user group selection for the users with the same characteristics in the PHY/MAC layer. It then optimizes the video bitrate for each group accordingly. We present our design and its evaluation on smartphones over 802.11ac WiFi.\",\"PeriodicalId\":153361,\"journal\":{\"name\":\"Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3458864.3466913\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3458864.3466913","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
LATTE: online MU-MIMO grouping for video streaming over commodity wifi
In this paper, we present LATTE, a novel framework that proposes MU-MIMO group selection optimization for multi-user video streaming over IEEE 802.11ac. Taking a cross-layer approach, LATTE first optimizes the MU-MIMO user group selection for the users with the same characteristics in the PHY/MAC layer. It then optimizes the video bitrate for each group accordingly. We present our design and its evaluation on smartphones over 802.11ac WiFi.
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