Intelligent Channel Assignment for WI-FI System Based on Reinforcement Learning

摘要：

　　This paper focuses on enhanced channel planning for WI-FI systems.Based on a real measurement of the frequency spectrum background,the quality of each channel has been classified.Machine learning algorithms are used to process these data and control the system.Reinforcement learning(a special example of machine learning)is used due to its complexity as a test-trial agents system.In the proposed system punishment and reward schema are utilized making it possible to change channels during the transmission and use the one with minimal interference.The promising increase of SINR up to 5%for outdoor scenarios and up to 30%for indoor scenarios should be applied to improve modulation schemas and increase data throughput.

作者: R.Urban P.Drexler

作者单位: Department of Theoretical and Experimental Electrical Engineering Brno University of Technology,Technicka 12,Brno 612 00,Czech Republic

会议类型: 国际会议

会议名称: Progress in Electromagnetics Research Symposium 2014(2014年电磁学研究新进展学术研讨会)

会议地点: 广州

会议语种:英文

页码: 2322-2325

在线出版日期: 2014-08-01（万方平台首次上网日期，不代表论文的发表时间）