{"title":"加权冲突图在Wi-Fi网络信道选择中的应用","authors":"Lafdal Abdelwedoud, A. Busson, I. G. Lassous","doi":"10.23919/WONS51326.2021.9415558","DOIUrl":null,"url":null,"abstract":"Allocation algorithms in IEEE 802.11-based WLAN, that consist to associate to each AP a channel, are mainly based on a conflict graph that represents the conflicts (interference, CCA detection, etc.) between APs. In this paper, we propose to use an enriched version of the conflict graph, namely a weighted conflict graph. This latter models the CCA detection that can be total (all transmissions are detected) or partial. Beside, a model is given to compute the throughput of each AP for a given allocation. This model is combined to a greedy algorithm that aims to find the allocation that maximizes the proportional fairness. Simulations based on the recent IEEE 802.11ax amendment are carried out for small WLANs with a few APs and very dense networks. Results show that when the network is dense or constrained, there is a gain to consider partial detection.","PeriodicalId":103530,"journal":{"name":"2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Use of a Weighted Conflict Graph in the Channel Selection Operation for Wi-Fi Networks\",\"authors\":\"Lafdal Abdelwedoud, A. Busson, I. G. Lassous\",\"doi\":\"10.23919/WONS51326.2021.9415558\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Allocation algorithms in IEEE 802.11-based WLAN, that consist to associate to each AP a channel, are mainly based on a conflict graph that represents the conflicts (interference, CCA detection, etc.) between APs. In this paper, we propose to use an enriched version of the conflict graph, namely a weighted conflict graph. This latter models the CCA detection that can be total (all transmissions are detected) or partial. Beside, a model is given to compute the throughput of each AP for a given allocation. This model is combined to a greedy algorithm that aims to find the allocation that maximizes the proportional fairness. Simulations based on the recent IEEE 802.11ax amendment are carried out for small WLANs with a few APs and very dense networks. Results show that when the network is dense or constrained, there is a gain to consider partial detection.\",\"PeriodicalId\":103530,\"journal\":{\"name\":\"2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-03-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/WONS51326.2021.9415558\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/WONS51326.2021.9415558","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Use of a Weighted Conflict Graph in the Channel Selection Operation for Wi-Fi Networks
Allocation algorithms in IEEE 802.11-based WLAN, that consist to associate to each AP a channel, are mainly based on a conflict graph that represents the conflicts (interference, CCA detection, etc.) between APs. In this paper, we propose to use an enriched version of the conflict graph, namely a weighted conflict graph. This latter models the CCA detection that can be total (all transmissions are detected) or partial. Beside, a model is given to compute the throughput of each AP for a given allocation. This model is combined to a greedy algorithm that aims to find the allocation that maximizes the proportional fairness. Simulations based on the recent IEEE 802.11ax amendment are carried out for small WLANs with a few APs and very dense networks. Results show that when the network is dense or constrained, there is a gain to consider partial detection.