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Data Size-Aware Dow...
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Vu, Tung T.Queens Univ Belfast, North Ireland
(författare)
Data Size-Aware Downlink Massive MIMO: A Session-Based Approach
- Artikel/kapitelEngelska2022
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IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC,2022
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LIBRIS-ID:oai:DiVA.org:liu-187888
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https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-187888URI
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https://doi.org/10.1109/LWC.2022.3174829DOI
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Språk:engelska
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Sammanfattning på:engelska
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Funding Agencies|U.K. Research and Innovation Future Leaders Fellowships [MR/S017666/1]; FMJH Program PGMO; EDF; Department for the Economy Northern Ireland under the US-Ireland R&D Partnership Programme; ELLIIT; KAW Foundation
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This letter considers the development of transmission strategies for the downlink of massive multiple-input multiple-output networks, with the objective of minimizing the completion time of the transmission. Specifically, we introduce a session-based scheme that splits time into sessions and allocates different rates in different sessions for the different users. In each session, one user is selected to complete its transmission and will not join subsequent sessions, which results in successively lower levels of interference when moving from one session to the next. An algorithm is developed to assign users and allocate transmit power that minimizes the completion time. Numerical results show that our proposed session-based scheme significantly outperforms conventional non-session-based schemes.
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Hien, Quoc NgoQueens Univ Belfast, North Ireland
(författare)
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Dao, Minh N.Federat Univ, Australia
(författare)
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Matthaiou, MichailQueens Univ Belfast, North Ireland
(författare)
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Larsson, Erik G.,1974-Linköpings universitet,Kommunikationssystem,Tekniska fakulteten(Swepub:liu)erila39
(författare)
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Queens Univ Belfast, North IrelandFederat Univ, Australia
(creator_code:org_t)
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Ingår i:IEEE Wireless Communications Letters: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC11:7, s. 1468-14722162-23372162-2345
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