吞吐量
RSS
计算机科学
无线局域网
无线
计算机网络
频道(广播)
实时计算
电信
操作系统
作者
Yoshihiko Tsuchiya,Norisato Suga,Kazunori Uruma,Kazuto Yano,Yoshinori Suzuki,Masaya Fujisawa
标识
DOI:10.1109/ispacs57703.2022.10082838
摘要
Throughput prediction of wireless LAN (WLAN) is important technology for effective use of frequency spectrum. In conventional throughput prediction methods, the future throughput is predicted by learning variations of throughput and some related information such as Received Signal Strength (RSS). On the other hand, the WLAN throughput is highly affected by Channel Occupancy Ratio (COR) due to carrier sense multiple access with collision avoidance. Therefore, this paper proposes simultaneous learning of throughput, RSS, and COR to learn the latent cause of the throughput variation. We compare the prediction accuracy of several prediction models, and it is confirmed that the accuracy is improved by the proposed simultaneous learning regardless of the network structure.
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