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Pré-Publication, Document De Travail Année : 2017

Low-Complexity Antenna Selection for Minimizing the Power Consumption of a MIMO Base Station

Résumé

In this paper, we study the problem of Transmit Antenna Selection (TAS) for the minimization of a base station power consumption. We propose an algorithm, which solves this problem when the optimal precoding and power allocation are employed, i.e., when an eigenvalue decomposition is employed with a water-filling algorithm. For that purpose, we derive an approximation for the base station power consumption expression that can be used to compute the number of switched-on antennas. Besides, we show that Norm-Based Selection (NBS) policy can be used for selecting the switched-on antennas. Finally, our numerical results show that the proposed low-complexity algorithm provides optimal power consumption performances.
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Dates et versions

hal-01826578 , version 1 (29-06-2018)
hal-01826578 , version 2 (23-07-2018)

Identifiants

  • HAL Id : hal-01826578 , version 1

Citer

Rémi Bonnefoi, Christophe Moy, Jacques Palicot, Amor Nafkha. Low-Complexity Antenna Selection for Minimizing the Power Consumption of a MIMO Base Station. 2017. ⟨hal-01826578v1⟩
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