IEEE Communications Letters · 2019 · 51 citations · 15 references
EngineeringComputer ScienceElectrical EngineeringAlgorithmsAntennasWireless CommunicationsAntenna ArraysAntenna DesignBeamformingMillimeter-wave CommunicationsMimo AntennasWireless Channel ModelingBeam SelectionBeamspace Multiple-input Multiple-outputComputational Complexity Of AlgorithmsGreedy HeuristicsMillimeter-wave Multiple Input Multiple OutputMimoMimo SystemsMultiuser Multiple Input Multiple Output
We consider the downlink multi-user multiple-input multiple-output (MIMO) systems, operating at millimeter-wave frequencies and equipped with a large number of antenna elements at the access point. Beamspace MIMO with beam selection offers an attractive solution for reducing the number of required radio frequency chains in such systems. We propose two beam selection algorithms. The first one is a heuristic greedy algorithm that enjoys low computational complexity with moderate performance. By modeling beam selection as maximum weight matching over a bipartite graph, we propose beam selection based on the Kuhn-Munkres algorithm and, importantly, introduce a new formal framework for beam selection.
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The Hungarian method for the assignment problem
Harold W. Kuhn · Naval Research Logistics Quarterly · 1955 · 12.6K citations
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