Data size-aware downlink massive MIMO: a session-based approach
Autor: | Hien Ngo, Thanh Tung Vu, Erik G. Larsson, Minh N. Dao, Michail Matthaiou |
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Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: |
FOS: Computer and information sciences
Telekommunikation Downlink Coherence time Channel estimation Interference Signal to noise ratio Data communication Power control Massive MIMO session-based zero-forcing Control and Systems Engineering Computer Science - Information Theory Information Theory (cs.IT) Telecommunications Electrical and Electronic Engineering |
Zdroj: | Vu, T T, Ngo, H-Q, Dao, M N, Matthaiou, M & Larsson, E G 2022, ' Data size-aware downlink massive MIMO: a session-based approach ', IEEE Wireless Communications Letters, vol. 11, no. 7, pp. 1468-1472 . https://doi.org/10.1109/LWC.2022.3174829 |
DOI: | 10.1109/LWC.2022.3174829 |
Popis: | 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. Comment: accepted to appear in IEEE Wireless Communications Letter, 2022 |
Databáze: | OpenAIRE |
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