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Applications of Machine Learning in Wireless Communications最新文献

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Deep learning for indoor localization based on bimodal CSI data 基于双峰CSI数据的深度学习室内定位
Applications of Machine Learning in Wireless Communications Pub Date : 2019-06-19 DOI: 10.1049/PBTE081E_CH10
Xuyu Wang, S. Mao
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引用次数: 2
Back Matter 回到问题
Applications of Machine Learning in Wireless Communications Pub Date : 2019-06-19 DOI: 10.1049/pbte081e_bm
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引用次数: 0
Reinforcement learning-based channel sharing in wireless vehicular networks 基于强化学习的无线车载网络信道共享
Applications of Machine Learning in Wireless Communications Pub Date : 2019-06-19 DOI: 10.1049/PBTE081E_CH7
Andreas Pressas, Zhengguo Sheng, F. Ali
{"title":"Reinforcement learning-based channel sharing in wireless vehicular networks","authors":"Andreas Pressas, Zhengguo Sheng, F. Ali","doi":"10.1049/PBTE081E_CH7","DOIUrl":"https://doi.org/10.1049/PBTE081E_CH7","url":null,"abstract":"In this chapter, the authors study the enhancement of the proposed IEEE 802.11p medium access control (MAC) layer for vehicular use by applying reinforcement learning (RL). The purpose of this adaptive channel access control technique is enabling more reliable, high-throughput data exchanges among moving vehicles for cooperative awareness purposes. Some technical background for vehicular networks is presented, as well as some relevant existing solutions tackling similar channel sharing problems. Finally, some new findings from combining the IEEE 802.11p MAC with RL-based adaptation and insight of the various challenges appearing when applying such mechanisms in a wireless vehicular network are presented.","PeriodicalId":358911,"journal":{"name":"Applications of Machine Learning in Wireless Communications","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122891209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Machine-learning-enabled channel modeling 支持机器学习的通道建模
Applications of Machine Learning in Wireless Communications Pub Date : 2019-06-19 DOI: 10.1049/PBTE081E_CH2
Chen Huang, R. He, A. Molisch, Z. Zhong, B. Ai
{"title":"Machine-learning-enabled channel modeling","authors":"Chen Huang, R. He, A. Molisch, Z. Zhong, B. Ai","doi":"10.1049/PBTE081E_CH2","DOIUrl":"https://doi.org/10.1049/PBTE081E_CH2","url":null,"abstract":"In this chapter, we present an introduction to the use of machine learning in wireless propagation channel modeling. We also present a survey of some current research topics that have become important issues for 5G communications.","PeriodicalId":358911,"journal":{"name":"Applications of Machine Learning in Wireless Communications","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124857197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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