{"title":"一种多波段无线局域网系统集体感知的分布式交互式报告方案","authors":"R. Teng, K. Yano, T. Kumagai","doi":"10.1109/WPMC.2017.8301799","DOIUrl":null,"url":null,"abstract":"Multi-band wireless local area network (WLAN) allows WLAN to adaptively select and jointly use wireless channels in multiple frequency bands to improve spectral efficiency. Monitoring of multi-band wireless resources is a significant and challenging issue for multi-band WLAN. Traditional methods of sensing by access point (AP) for each basic service set (BSS) of multi-cell WLAN incurs constraints of sensing capacity as well as the spatial and spectral coverage, especially for multi-band WLAN. We consider a resource monitoring system that employs collective sensing for each BSS via multi-RF stations (STAs). Distributed and collective sensing at each BSS alleviates the constraints of AP based sensing. Meanwhile, the STA based sensing for a BSS leads to a large sensing-report overhead. In this paper, we especially address the problem of potential large spectrum consumption caused by the sensing reports from a collective of sensing entities of STAs in multi-band WLAN. We propose a distributed-and-interactive scheme to efficiently report sensing results, such as channel occupancy ratio (COR) from sensing entities. The sensing results are collected at the AP in each BSS in a WLAN. The evaluation results show that the proposed scheme leads to a very small number of reports to obtain the necessary sensing results, even for a WLAN that has a large number of sensing entities.","PeriodicalId":239243,"journal":{"name":"2017 20th International Symposium on Wireless Personal Multimedia Communications (WPMC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A distributed-and-interactive reporting scheme for collective-sensing in multi-band wireless LAN system\",\"authors\":\"R. Teng, K. Yano, T. Kumagai\",\"doi\":\"10.1109/WPMC.2017.8301799\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multi-band wireless local area network (WLAN) allows WLAN to adaptively select and jointly use wireless channels in multiple frequency bands to improve spectral efficiency. Monitoring of multi-band wireless resources is a significant and challenging issue for multi-band WLAN. Traditional methods of sensing by access point (AP) for each basic service set (BSS) of multi-cell WLAN incurs constraints of sensing capacity as well as the spatial and spectral coverage, especially for multi-band WLAN. We consider a resource monitoring system that employs collective sensing for each BSS via multi-RF stations (STAs). Distributed and collective sensing at each BSS alleviates the constraints of AP based sensing. Meanwhile, the STA based sensing for a BSS leads to a large sensing-report overhead. In this paper, we especially address the problem of potential large spectrum consumption caused by the sensing reports from a collective of sensing entities of STAs in multi-band WLAN. We propose a distributed-and-interactive scheme to efficiently report sensing results, such as channel occupancy ratio (COR) from sensing entities. The sensing results are collected at the AP in each BSS in a WLAN. The evaluation results show that the proposed scheme leads to a very small number of reports to obtain the necessary sensing results, even for a WLAN that has a large number of sensing entities.\",\"PeriodicalId\":239243,\"journal\":{\"name\":\"2017 20th International Symposium on Wireless Personal Multimedia Communications (WPMC)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 20th International Symposium on Wireless Personal Multimedia Communications (WPMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WPMC.2017.8301799\",\"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 20th International Symposium on Wireless Personal Multimedia Communications (WPMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WPMC.2017.8301799","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A distributed-and-interactive reporting scheme for collective-sensing in multi-band wireless LAN system
Multi-band wireless local area network (WLAN) allows WLAN to adaptively select and jointly use wireless channels in multiple frequency bands to improve spectral efficiency. Monitoring of multi-band wireless resources is a significant and challenging issue for multi-band WLAN. Traditional methods of sensing by access point (AP) for each basic service set (BSS) of multi-cell WLAN incurs constraints of sensing capacity as well as the spatial and spectral coverage, especially for multi-band WLAN. We consider a resource monitoring system that employs collective sensing for each BSS via multi-RF stations (STAs). Distributed and collective sensing at each BSS alleviates the constraints of AP based sensing. Meanwhile, the STA based sensing for a BSS leads to a large sensing-report overhead. In this paper, we especially address the problem of potential large spectrum consumption caused by the sensing reports from a collective of sensing entities of STAs in multi-band WLAN. We propose a distributed-and-interactive scheme to efficiently report sensing results, such as channel occupancy ratio (COR) from sensing entities. The sensing results are collected at the AP in each BSS in a WLAN. The evaluation results show that the proposed scheme leads to a very small number of reports to obtain the necessary sensing results, even for a WLAN that has a large number of sensing entities.