SLINR-Based Downlink Optimization in MU-MIMO Networks

Optimizing the downlink of multi-cell multiuser multiple input multiple output (MU-MIMO) networks has received substantial attention; however, the schemes in the literature consider centralized solutions requiring significant overhead in information exchange (e.g., global channel state information o...

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Veröffentlicht in:	IEEE access 2022, Vol.10, p.123956-123970
Hauptverfasser:	Gamvrelis, Tyler, Li, Zehua, Khan, Ahmad Ali, Adve, Raviraj S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Beamforming Downlink Downlinking inter-cell interference Interference Iterative methods Leakage Maximization MIMO MIMO communication Noise measurement Optimization Processor scheduling Resource allocation Resource management Shape Simulation SLINR State (computer science) Throughput Training
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