Supervised learning and graph signal processing strategies for beam tracking in highly directional mobile communications
Author:
Affiliation:
1. Wireless Telecommunications Research Group Federal University of Ceará Fortaleza Brazil
2. Ericsson AB Stockholm Sweden
Funder
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Publisher
Wiley
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ett.3687
Reference38 articles.
1. Deconstructing multiantenna fading channels
2. BaeJ LimSH YooJH ChoiJW.New beam tracking technique for millimeter wave‐band communications. arXiv preprint arXiv:1702.00276;2017.
3. ZhangC GuoD FanP.Tracking angles of departure and arrival in a mobile millimeter wave channel. Paper presented at: 2016 IEEE International Conference on Communications (ICC);2016;Kuala Lumpur Malaysia.
4. VaV VikaloH HeathRW.Beam tracking for mobile millimeter wave communication systems. Paper presented at: 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP);2016;Washington DC.
5. PalaciosJ De DonnoD WidmerJ.Tracking mm‐Wave channel dynamics: fast beam training strategies under mobility. Paper presented at: IEEE Conference on Computer Communications (INFOCOM);2017;Atlanta GA.
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Deep Q-Network Based Beam Tracking for Mobile Millimeter-Wave Communications;IEEE Transactions on Wireless Communications;2023-02
2. Machine Learning/AI for IoT, M2M, and Computer Communication;Transactions on Emerging Telecommunications Technologies;2019-09
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