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• W2775534059 abstract "Antenna selection is a promising solution to reduce the system cost, specially for Massive MIMO systems with large scale antennas. In this paper, we consider the antenna selection problem of uplink in such MIMO system. Exact closed-form expression of this problem based on instantaneous capacity is derived. We first adopt a low complexity method with a dynamic selection coefficient. This method preserves the performance at a certain required level, showing the “Law of Diminishing Returns” property. We introduce the submodular function and its relevant submodularity to analyze this property. Based on such analysis, we formulate the problem to constrained submodular function optimization (SFO) under the framework of submodularity. A customized algorithm is presented as well as its approximation solution. Numerical results are conducted to demonstrate the effectiveness of the proposed algorithm." @default.
• W2775534059 created "2017-12-22" @default.
• W2775534059 creator A5017662665 @default.
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• W2775534059 creator A5073501391 @default.
• W2775534059 date "2017-10-01" @default.
• W2775534059 modified "2023-09-26" @default.
• W2775534059 title "Antenna selection in massive MIMO systems utilizing the submodular function" @default.
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• W2775534059 doi "https://doi.org/10.1109/wcsp.2017.8171056" @default.
• W2775534059 hasPublicationYear "2017" @default.
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