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Beam Tracking for Dynamic mmWave Channels: A New Training Beam Sequence Design Approach
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering.ORCID iD: 0000-0001-9621-561X
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering.ORCID iD: 0000-0002-5407-0835
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering.ORCID iD: 0000-0002-7926-5081
2022 (English)In: 20th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt), 2022, p. 276-282Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2022. p. 276-282
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-322370DOI: 10.23919/WiOpt56218.2022.9930586ISI: 000918839700036Scopus ID: 2-s2.0-85142248418OAI: oai:DiVA.org:kth-322370DiVA, id: diva2:1718116
Conference
20th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt), Politecnico Torino, Torino, ITALY, SEP 19-23, 2022
Note

QC 20221213

Available from: 2022-12-12 Created: 2022-12-12 Last updated: 2024-08-28Bibliographically approved

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Zhang, DeyouXiao, MingSkoglund, Mikael

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